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INCREMENTAL LEARNING

  • Incremental learning
  • Method of machine learning

    Fuzzy ARTMAP, TopoART, and IGNG) or the incremental SVM. The aim of incremental learning is for the learning model to adapt to new data without forgetting

    Incremental learning

    Incremental_learning

  • Incremental reading
  • Software-assisted learning technique

    incremental video, incremental audio, incremental mail processing, incremental problem solving, and incremental writing. "Incremental learning" is the term

    Incremental reading

    Incremental reading

    Incremental_reading

  • Online machine learning
  • Method of machine learning

    markets. Online learning algorithms may be prone to catastrophic interference, a problem that can be addressed by incremental learning approaches. Online

    Online machine learning

    Online_machine_learning

  • Boosting (machine learning)
  • Ensemble learning method

    in the non-sharing case. Similar results are shown in the paper "Incremental learning of object detectors using a visual shape alphabet", yet the authors

    Boosting (machine learning)

    Boosting_(machine_learning)

  • Active learning (machine learning)
  • Machine learning strategy

    adaptive, incremental learning policies in the field of online machine learning. Using active learning allows for faster development of a machine learning algorithm

    Active learning (machine learning)

    Active_learning_(machine_learning)

  • Incremental decision tree
  • An incremental decision tree algorithm is an online machine learning algorithm that outputs a decision tree. Many decision tree methods, such as C4.5

    Incremental decision tree

    Incremental_decision_tree

  • Population-based incremental learning
  • In computer science and machine learning, population-based incremental learning (PBIL) is an optimization algorithm, and an estimation of distribution

    Population-based incremental learning

    Population-based_incremental_learning

  • Learning classifier system
  • Paradigm of rule-based machine learning methods

    reinforcement learning vs. supervised learning, (3) incremental learning vs. batch learning, (4) online learning vs. offline learning, (5) strength-based

    Learning classifier system

    Learning classifier system

    Learning_classifier_system

  • Adaptive resonance theory
  • Theory in neuropsychology

    existing knowledge that is also called incremental learning. The basic ART system is an unsupervised learning model. It typically consists of a comparison

    Adaptive resonance theory

    Adaptive_resonance_theory

  • Outline of machine learning
  • Overview of and topical guide to machine learning

    algorithm Reinforcement learning Repeated incremental pruning to produce error reduction (RIPPER) Rprop Rule-based machine learning Self-organizing map Skill

    Outline of machine learning

    Outline_of_machine_learning

  • Deep learning
  • Branch of machine learning

    competition by a significant margin over shallow machine learning methods. Further incremental improvements included the VGG-16 network by Karen Simonyan

    Deep learning

    Deep learning

    Deep_learning

  • Iterative and incremental development
  • Development methodology

    Iterative and incremental development is any combination of both iterative design (or iterative method) and incremental build model for development. Usage

    Iterative and incremental development

    Iterative and incremental development

    Iterative_and_incremental_development

  • Knowledge cutoff
  • Temporal limit of a model's knowledge

    "CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning". CVPR 2025 Open Access Repository. Computer Vision Foundation. 2025

    Knowledge cutoff

    Knowledge_cutoff

  • Estimation of distribution algorithm
  • Family of stochastic optimization methods

    promising candidate solutions. Optimization is viewed as a series of incremental updates of a probabilistic model, starting with the model encoding an

    Estimation of distribution algorithm

    Estimation of distribution algorithm

    Estimation_of_distribution_algorithm

  • Adversarial machine learning
  • Research field that lies at the intersection of machine learning and computer security

    unless systems are updated regularly or incorporate mechanisms for incremental learning. Researchers differentiate between features that can be easily manipulated

    Adversarial machine learning

    Adversarial_machine_learning

  • Object categorization from image search
  • learning allows OPTIMOL to collect a better dataset Incremental learning allows OPTIMOL to learn faster (by discarding irrelevant images) Incremental

    Object categorization from image search

    Object_categorization_from_image_search

  • Reinforcement learning
  • Field of machine learning

    Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised learning. While supervised learning and

    Reinforcement learning

    Reinforcement learning

    Reinforcement_learning

  • Saxon math
  • Teaching method for mathematics

    math, developed by John Saxon (1923–1996), is a teaching method for incremental learning of mathematics created in the 1980s. It involves teaching a new mathematical

    Saxon math

    Saxon_math

  • Ministry of Women and Child Development
  • Government ministry of India

    Management System for Sexual Harassment at Workplace Sakhi Dashboard e-Incremental Learning Approach (e-ILA) Integrated Child Protection Scheme Welfare of the

    Ministry of Women and Child Development

    Ministry of Women and Child Development

    Ministry_of_Women_and_Child_Development

  • Training, validation, and test data sets
  • Tasks in machine learning

    training set is continuously expanded with new data, then this is incremental learning. A validation data set is a data set of examples used to tune the

    Training, validation, and test data sets

    Training,_validation,_and_test_data_sets

  • Learning disability
  • Range of neurodevelopmental conditions

    Learning disability, primarily learning disorder, or learning difficulty (British English) is a condition in the brain that causes difficulties comprehending

    Learning disability

    Learning disability

    Learning_disability

  • Offline learning
  • Machine learning from a fixed dataset

    presented. Online machine learning Incremental learning Bishop, Christopher M. (2006-08-17). Pattern Recognition and Machine Learning. New York: Springer.

    Offline learning

    Offline_learning

  • Stochastic gradient descent
  • Optimization algorithm

    become an important optimization method in machine learning. Both statistical estimation and machine learning consider the problem of minimizing an objective

    Stochastic gradient descent

    Stochastic_gradient_descent

  • Learning curve
  • Relationship between proficiency and experience

    refers to a whole system learning process with varying rates of progression. Generally speaking all learning displays incremental change over time, but describes

    Learning curve

    Learning curve

    Learning_curve

  • Concept drift
  • Change of statistical properties over time

    Information Systems ICAIS 2011 Track on Incremental Learning IJCNN 2011 Special Session on Concept Drift and Learning Dynamic Environments CIDUE 2011 Symposium

    Concept drift

    Concept_drift

  • Scikit-multiflow
  • Machine learning library for data streams in Python

    Matplotlib for plotting, scikit-learn for incremental learning methods compatible with the stream learning setting, Pandas for data manipulation, Numpy

    Scikit-multiflow

    Scikit-multiflow

    Scikit-multiflow

  • Data stream mining
  • Analysis of continuous, rapid data

    Often, concepts from the field of incremental learning are applied to cope with structural changes, on-line learning and real-time demands. In many applications

    Data stream mining

    Data_stream_mining

  • Neural network (machine learning)
  • Computational model used in machine learning

    competition by a significant margin over shallow machine learning methods. Further incremental improvements included the VGG-16 network by Karen Simonyan

    Neural network (machine learning)

    Neural network (machine learning)

    Neural_network_(machine_learning)

  • BrainChip
  • Neuromorphic tech company

    in parallel. The design elements are meant to allow inference and incremental learning on edge devices with lower power consumption. On 29 January 2023

    BrainChip

    BrainChip

  • Neural gas
  • Artificial neural network

    growing neural gas (GNG) as an incremental network model that learns topological relations by using a "Hebb-like learning rule", only, unlike the neural

    Neural gas

    Neural_gas

  • Wireless sensor network
  • Group of spatially dispersed and dedicated sensors

    ; Wörtche, H. J.; Liotta, A. (December 2014). "Online Fusion of Incremental Learning for Wireless Sensor Networks". 2014 IEEE International Conference

    Wireless sensor network

    Wireless_sensor_network

  • Learning theory (education)
  • Theory that describes how students receive, process, and retain knowledge during learning

    the learning process Cognitive acceleration Spaced repetition Incremental reading Forward testing effect About the mechanisms of memory and learning Neural

    Learning theory (education)

    Learning_theory_(education)

  • One-class classification
  • Approach to training in machine learning

    Krawczyk, Bartosz; Woźniak, Michał (2015). "One-class classifiers with incremental learning and forgetting for data streams with concept drift". Soft Computing

    One-class classification

    One-class_classification

  • Age of acquisition
  • Psycholinguistic variable

    consequence of incremental learning, resulting from both the construction of representations and changing plasticity in the learning system. Early-acquired

    Age of acquisition

    Age_of_acquisition

  • Agile learning
  • Self-directed, iterative learning approach

    agile learning proceeds in incremental steps and through an Iterative design which alternates between phases of learning and doing. The tutors rather

    Agile learning

    Agile_learning

  • Incremental research
  • Research using numerous small projects

    Scientists typically achieve this by incremental contributions to established research directions." Non-incremental research is often perceived as more

    Incremental research

    Incremental_research

  • Saffron Technology
  • Technology Company

    Carolina, that developed cognitive computing systems. Their systems use incremental learning to understand and unify by entity (person, place or thing) the connections

    Saffron Technology

    Saffron_Technology

  • Edward Thorndike
  • American psychologist (1874–1949)

    intelligence. This is the ability to handle human interaction. Learning is incremental. Learning occurs automatically. All animals learn the same way. Law

    Edward Thorndike

    Edward Thorndike

    Edward_Thorndike

  • Organizational memory
  • Data and information held by an organization

    of learning that leapfrogs the other types, and—in da Vinci's case—was so advanced that it had to wait hundreds of years for incremental learning to catch

    Organizational memory

    Organizational_memory

  • Vector database
  • Type of database that uses vectors to represent other data

    generative AI". VentureBeat. 2023-07-14. Retrieved 2023-10-29. "Automatic incremental embedding index". Pixeltable. 24 April 2025. Retrieved 2025-07-04. "pgvector"

    Vector database

    Vector_database

  • Implicit theories of intelligence
  • Concepts in social and developmental psychology

    an incremental theory mindset. However, when the subsequent task measured a different ability, entity theorists performed better than incremental theorists

    Implicit theories of intelligence

    Implicit_theories_of_intelligence

  • Nanopore sequencing
  • DNA / RNA sequencing technique

    nanopore sequencing basecalling models for modification detection via incremental learning and anomaly detection, Nat Commun vol. 15, no. 1, p. 7148, doi: 10

    Nanopore sequencing

    Nanopore sequencing

    Nanopore_sequencing

  • Decision tree learning
  • Machine learning algorithm

    Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or

    Decision tree learning

    Decision_tree_learning

  • Glossary of artificial intelligence
  • List of concepts in artificial intelligence

    memory limits. Algorithms that can facilitate incremental learning are known as incremental machine learning algorithms. inference engine A component of

    Glossary of artificial intelligence

    Glossary_of_artificial_intelligence

  • Rule-based machine learning
  • AI that learns decision rules from data

    Rule-based machine learning (RBML) is a term in computer science intended to encompass any machine learning method that identifies, learns, or evolves

    Rule-based machine learning

    Rule-based_machine_learning

  • Uplift modelling
  • Predictive modelling technique

    known as incremental modelling, true lift modelling, or net modelling, is a predictive modelling technique that directly models the incremental impact of

    Uplift modelling

    Uplift_modelling

  • Email spam
  • Unsolicited messages sent by email

    (2014-08-01). "Detecting spamming activities in a campus network using incremental learning". Journal of Network and Computer Applications. 43: 56–65. doi:10

    Email spam

    Email spam

    Email_spam

  • Artificial intelligence
  • Intelligence of machines

    to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field

    Artificial intelligence

    Artificial_intelligence

  • Recall (memory)
  • Retrieval of events or information from the past

    has caused a debate about whether or not learning is all-or-none. One theory is that learning is incremental and that the recall of each word pair is

    Recall (memory)

    Recall_(memory)

  • List of datasets for machine-learning research
  • (2014). "Trading off simplicity and coverage in incremental concept learning" (PDF). Machine Learning Proceedings. 1988: 73. Archived from the original

    List of datasets for machine-learning research

    List_of_datasets_for_machine-learning_research

  • BCPNN
  • Artificial neural network

    Petersson KM, Ekeberg O (May 2002). "A Bayesian attractor network with incremental learning". Network. 13 (2): 179–94. doi:10.1080/net.13.2.179.194. PMID 12061419

    BCPNN

    BCPNN

  • Nikola Kasabov
  • AI researcher

    presented deSNN, a dynamic evolving spiking neural network method, for incremental learning of spatio-temporal streaming data, used in the NeuCube system, and

    Nikola Kasabov

    Nikola_Kasabov

  • Linda Ronstadt
  • American singer (born 1946)

    teamwork, discipline, and the experience of learning to make great progress in small increments. Learning to play music together does all this and more

    Linda Ronstadt

    Linda Ronstadt

    Linda_Ronstadt

  • List of artificial intelligence algorithms
  • Randomized weighted majority algorithm Relevance vector machine Repeated incremental pruning to produce error reduction (RIPPER) Rprop Self-organizing map

    List of artificial intelligence algorithms

    List_of_artificial_intelligence_algorithms

  • Autodidacticism
  • Independent education without the guidance of teachers

    any learning system: a reward function, incremental action value functions and action selection methods. Rewards work best in motivating learning when

    Autodidacticism

    Autodidacticism

  • Ming-Hsuan Yang
  • American computer scientist

    1109/34.982883. Ross, D. A.; Lim, J.; Lin, R. S.; Yang, M.-H. (2008). "Incremental learning for robust visual tracking". International Journal of Computer Vision

    Ming-Hsuan Yang

    Ming-Hsuan_Yang

  • Machine Learning (journal)
  • Academic journal

    Michael Matessa (1992). "Explorations of an Incremental, Bayesian Algorithm for Categorization". Machine Learning. 9 (4): 275–308. doi:10.1007/BF00994109

    Machine Learning (journal)

    Machine_Learning_(journal)

  • Self-regulated learning
  • Educational strategy

    tackle the day-to-day challenges of academic tasks. These learners hold incremental beliefs about intelligence (as opposed to entity, or fixed views of intelligence)

    Self-regulated learning

    Self-regulated_learning

  • Causal inference
  • Branch of statistics

    marketing science, where advertisers and platforms seek to estimate the true incremental effect of marketing interventions rather than relying on correlative

    Causal inference

    Causal_inference

  • Aude Billard
  • Swiss physicist

    org/10.1145/1349822.1349828 Sylvain Calinon and Aude Billard. 2007. Incremental learning of gestures by imitation in a humanoid robot. In Proceedings of the

    Aude Billard

    Aude Billard

    Aude_Billard

  • Scrum (project management)
  • Management framework

    self-managing. Unlike sequential approaches, scrum is an iterative and incremental framework for product development. Scrum allows for continuous feedback

    Scrum (project management)

    Scrum (project management)

    Scrum_(project_management)

  • Charles Perfetti
  • Psychologist

    process of incremental learning. In his article titled Writing Strengthens Orthography and Alphabetic-Coding Strengthens Phonology in Learning to Read Chinese

    Charles Perfetti

    Charles_Perfetti

  • Meta-learning (computer science)
  • Subfield of machine learning

    success-story algorithm, adaptive Levin search, and incremental self-improvement". Machine Learning. 28: 105–130. doi:10.1023/a:1007383707642. Schmidhuber

    Meta-learning (computer science)

    Meta-learning_(computer_science)

  • Gensim
  • Vector space modeling and topic modeling toolkit

    collections using data streaming and incremental online algorithms, which differentiates it from most other machine learning software packages that target only

    Gensim

    Gensim

  • Fusion adaptive resonance theory
  • another channel. Due to this compatibility, at any point of the incremental learning process, instructions in the form of IF-THEN rules can be readily

    Fusion adaptive resonance theory

    Fusion_adaptive_resonance_theory

  • Language acquisition
  • Process in which a first language is being acquired

    idea of these theories is that language development occurs through the incremental acquisition of meaningful chunks of elementary constituents, which can

    Language acquisition

    Language_acquisition

  • Perceptual learning
  • Process of learning better perception skills

    Perceptual learning is the learning of perception skills, such as differentiating two musical tones from one another or categorizations of spatial and

    Perceptual learning

    Perceptual learning

    Perceptual_learning

  • Inception (deep learning architecture)
  • Family of convolutional neural networks

    v4, Inception ResNet v1, and Inception ResNet v2. Inception v4 is an incremental update with even more factorized convolutions, and other complications

    Inception (deep learning architecture)

    Inception_(deep_learning_architecture)

  • Bayesian programming
  • Statistics concept

    values of these parameters issued from a generic database, then some incremental learning customizes the classifier to each individual user. The question asked

    Bayesian programming

    Bayesian programming

    Bayesian_programming

  • Logic learning machine
  • Machine learning method

    Conte, M.; Varesio, L. (2013). "Use of Attribute Driven Incremental Discretization and Logic Learning Machine to build a prognostic classifier for neuroblastoma

    Logic learning machine

    Logic_learning_machine

  • Agile software development
  • Umbrella term for certain approaches to software development

    empirical evidence is limited and less than conclusive. Iterative and incremental software development methods can be traced back as early as 1957, with

    Agile software development

    Agile_software_development

  • Lazy learning
  • Type of machine learning method

    to be confused with the lazy learning regime, see Neural tangent kernel). In machine learning, lazy learning is a learning method in which generalization

    Lazy learning

    Lazy_learning

  • Return on marketing investment
  • Marketing concept

    and eventual estimation of the incremental sales attributed to marketing, or simply 'incrementality'. These incremental sales can be 'total' sales attributable

    Return on marketing investment

    Return_on_marketing_investment

  • Michèle Sebag
  • French computer scientist

    Michèle, and Antoine Ducoulombier. "Extending population-based incremental learning to continuous search spaces." International Conference on Parallel

    Michèle Sebag

    Michèle Sebag

    Michèle_Sebag

  • Transduction (machine learning)
  • Type of statistical inference

    In logic, statistical inference, and supervised learning, transduction or transductive inference is reasoning from observed, specific (training) cases

    Transduction (machine learning)

    Transduction_(machine_learning)

  • Educational psychology
  • Branch of psychology concerned with the scientific study of human learning

    of psychology concerned with the scientific study of human learning. The study of learning processes from both cognitive and behavioral perspectives allows

    Educational psychology

    Educational psychology

    Educational_psychology

  • Satish Udpa
  • American electrical engineer

    Polikar, R., Upda, L., Upda, S. S., & Honavar, V. (2001). Learn++: An incremental learning algorithm for supervised neural networks. IEEE transactions on systems

    Satish Udpa

    Satish_Udpa

  • Juyang Weng
  • Chinese-American computer engineer and neuroscientist

    with handling invariance through learning, enabling online incremental learning, and facilitating autonomous learning, among other objectives. From 1998

    Juyang Weng

    Juyang Weng

    Juyang_Weng

  • Predictive learning
  • Machine learning technique

    Predictive learning is a machine learning (ML) technique where an artificial intelligence model is fed new data to develop an understanding of its environment

    Predictive learning

    Predictive_learning

  • Cumulative learning
  • Cognitive process

    scholars particularly drawing attention to the fact it allows for the incremental increase in scope of ability and knowledge., without damaging pre-existing

    Cumulative learning

    Cumulative_learning

  • Dutton Speedwords
  • International auxiliary language and abbreviated writing system

    criterion. Dutton provided a proven learning approach which makes it easy to master. He emphasised incremental learning with repetition. Dutton persevered

    Dutton Speedwords

    Dutton_Speedwords

  • Computer programming
  • Process to create executable computer programs

    movements like Hour of Code (Code.org) show how learning to program has become associated with digital learning strategies, education agendas, and corporate

    Computer programming

    Computer_programming

  • Paul Justin Compton
  • Emeritus professor

    repository, p. 102-116, 2004. 15 Misra, A., Sowmya, A., and Compton, P. Incremental Learning of Control Knowledge for Lung Boundary Extraction. in Proceedings

    Paul Justin Compton

    Paul_Justin_Compton

  • Personalized learning
  • Term referring to efforts to tailor education to meet the different needs of students

    Personalized learning (also named individualized instruction, personal learning place or direct instruction) refers to a type of learning where learners

    Personalized learning

    Personalized_learning

  • What Video Games Have to Teach Us About Learning and Literacy
  • 2003 book by James Paul Gee

    task, is valuable. Subset Principle: Learning first occurs in a simplified subset of the real domain. Incremental Principle: Learners create connections

    What Video Games Have to Teach Us About Learning and Literacy

    What_Video_Games_Have_to_Teach_Us_About_Learning_and_Literacy

  • Hopfield network
  • Form of artificial neural network

    new concepts, one can reason that human learning is incremental. A learning system that was not incremental would generally be trained only once, with

    Hopfield network

    Hopfield_network

  • Induction of regular languages
  • In computational learning theory, induction of regular languages refers to the task of learning a formal description (e.g. grammar) of a regular language

    Induction of regular languages

    Induction_of_regular_languages

  • SuperMemo
  • Spaced repetition memorization/learning software

    started as a flashcard software (SuperMemo 1.0 (1987)). It has supported incremental reading since SuperMemo 10 (2000). The SuperMemo program stores a database

    SuperMemo

    SuperMemo

  • Please
  • English word indicating politeness

    (2002), p. 69. Wootton, Anthony J. (2007). "A Puzzle About Please:Repair, Increments, and Related Matters in the Speech of a Young Child". Research on Language

    Please

    Please

    Please

  • Metacognition
  • Self-awareness about thinking, higher-order thinking skills

    have been done to make things better), thus they may give up easily. Incremental theorists react differently when faced with failure: they desire to master

    Metacognition

    Metacognition

    Metacognition

  • Timeline of computing 2020–present
  • Iida, Fumiya (2023). "Recognition of Human Chef's Intentions for Incremental Learning of Cookbook by Robotic Salad Chef". IEEE Access. 11: 57006–57020

    Timeline of computing 2020–present

    Timeline of computing 2020–present

    Timeline_of_computing_2020–present

  • Extreme learning machine
  • Type of artificial neural network

    authors list (link) Huang, Guang-Bin, Lei Chen (2007). "Convex Incremental Extreme Learning Machine" (PDF). Neurocomputing. 70 (16–18): 3056–3062. doi:10

    Extreme learning machine

    Extreme_learning_machine

  • Google
  • American multinational technology company

    Richard; Carson, Erin (May 5, 2020). "Google's diversity numbers show incremental progress". CNET. Archived from the original on December 30, 2020. Retrieved

    Google

    Google

    Google

  • Dlib
  • Cross-platform software library

    (Dec): 3533–3537. CiteSeerX 10.1.1.413.8518. Yan, Junchi, et al. "Online incremental regression for electricity price prediction." Service Operations and

    Dlib

    Dlib

  • Averaged one-dependence estimators
  • tuneable parameters. As a result, it has low variance. It supports incremental learning whereby the classifier can be updated efficiently with information

    Averaged one-dependence estimators

    Averaged_one-dependence_estimators

  • Linear discriminant analysis
  • Method used in statistics, pattern recognition, and other fields

    incremental LDA algorithm, and this idea has been extensively studied over the last two decades. Chatterjee and Roychowdhury proposed an incremental self-organized

    Linear discriminant analysis

    Linear discriminant analysis

    Linear_discriminant_analysis

  • Perceptron
  • Algorithm for supervised learning of binary classifiers

    In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers. A binary classifier is a function that can decide whether

    Perceptron

    Perceptron

  • Accounting rate of return
  • Financial ratio

    useful life}}{\text{2}}}} Average return during period = Incremental revenue −  Incremental expenses (including depreciation) Number of Years {\displaystyle

    Accounting rate of return

    Accounting_rate_of_return

  • Association rule learning
  • Method for discovering interesting relations between variables in databases

    Association rule learning is a rule-based machine learning method for discovering interesting relations between variables in large databases. It is intended

    Association rule learning

    Association_rule_learning

  • Holden Karnofsky
  • American nonprofit executive

    cost-effectiveness analysis Earning to give Equal consideration of interests Incremental cost-effectiveness ratio Longtermism Marginal utility Moral circle expansion

    Holden Karnofsky

    Holden Karnofsky

    Holden_Karnofsky

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  • Increment
  • n.

    An amplification without strict climax,

  • Decrement
  • n.

    The quantity lost by gradual diminution or waste; -- opposed to increment.

  • Want
  • v. t.

    To be without; to be destitute of, or deficient in; not to have; to lack; as, to want knowledge; to want judgment; to want learning; to want food and clothing.

  • Excremental
  • a.

    Of or pertaining to excrement.

  • Increment
  • n.

    The increase of a variable quantity or fraction from its present value to its next ascending value; the finite quantity, generally variable, by which a variable quantity is increased.

  • Learning
  • n.

    The acquisition of knowledge or skill; as, the learning of languages; the learning of telegraphy.

  • Incruental
  • a.

    Unbloody; not attended with blood; as, an incruental sacrifice.

  • Increment
  • n.

    Matter added; increase; produce; production; -- opposed to decrement.

  • Increment
  • n.

    The act or process of increasing; growth in bulk, guantity, number, value, or amount; augmentation; enlargement.

  • Moment
  • n.

    An infinitesimal change in a varying quantity; an increment or decrement.

  • Learning
  • n.

    The knowledge or skill received by instruction or study; acquired knowledge or ideas in any branch of science or literature; erudition; literature; science; as, he is a man of great learning.

  • Void
  • a.

    Being without; destitute; free; wanting; devoid; as, void of learning, or of common use.

  • Differential
  • n.

    An increment, usually an indefinitely small one, which is given to a variable quantity.

  • Equicrescent
  • a.

    Increasing by equal increments; as, an equicrescent variable.

  • Incremental
  • a.

    Pertaining to, or resulting from, the process of growth; as, the incremental lines in the dentine of teeth.

  • Recremental
  • a.

    Recrementitious.

  • Factorial
  • n.

    A name given to the factors of a continued product when the former are derivable from one and the same function F(x) by successively imparting a constant increment or decrement h to the independent variable. Thus the product F(x).F(x + h).F(x + 2h) . . . F[x + (n-1)h] is called a factorial term, and its several factors take the name of factorials.

  • Unlearned
  • a.

    Not exhibiting learning; as, unlearned verses.

  • University
  • n.

    An institution organized and incorporated for the purpose of imparting instruction, examining students, and otherwise promoting education in the higher branches of literature, science, art, etc., empowered to confer degrees in the several arts and faculties, as in theology, law, medicine, music, etc. A university may exist without having any college connected with it, or it may consist of but one college, or it may comprise an assemblage of colleges established in any place, with professors for instructing students in the sciences and other branches of learning.