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Version space learning is a logical approach to machine learning, specifically binary classification. Version space learning algorithms search a predefined
Version_space_learning
Subset of artificial intelligence
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn
Machine_learning
Overview of and topical guide to machine learning
learning theory Statistical relational learning Tanagra Transfer learning Variable-order Markov model Version space learning Waffles Weka Loss function Loss
Outline_of_machine_learning
Methods in artificial intelligence research
relational learning. Symbolic machine learning addressed the knowledge acquisition problem with contributions including Version Space, Valiant's PAC learning, Quinlan's
Symbolic artificial intelligence
Symbolic_artificial_intelligence
Learning logic programs from data
Inductive programming Inductive probability Statistical relational learning Version space learning Cropper, Andrew; Dumančić, Sebastijan (2022-06-15). "Inductive
Inductive_logic_programming
Machine learning technique
In deep learning, fine-tuning is the process of adapting a computational model trained for one task (the upstream task) to perform a different, usually
Fine-tuning_(deep_learning)
American artificial intelligence subsidiary of SpaceX
SpaceX Super Intelligence LLC is an American artificial intelligence company founded by Elon Musk. In February 2026, it became a subsidiary of spaceflight
SpaceXAI
Machine learning paradigm
Computational learning theory Inductive bias Overfitting (Uncalibrated) class membership probabilities Version spaces List of datasets for machine-learning research
Supervised_learning
Educational software application
programs, materials, or learning and development programs. The learning management system concept emerged directly from e-Learning. Learning management systems
Learning_management_system
Book by Patrick Henry Winston and Berthold Klaus Paul Horn
examples. The supplied sample code for rule-based systems, and version space learning was highlighted as supporting the text quite well. In Paradigms
LISP_(book)
Neural network that learns efficient data encoding in an unsupervised manner
network used to learn efficient codings of unlabeled data (unsupervised learning). An autoencoder learns two functions: an encoding function that transforms
Autoencoder
Machine learning that combines deep learning and reinforcement learning
Deep reinforcement learning (deep RL) is a subfield of machine learning that combines reinforcement learning (RL) and deep learning. RL considers the problem
Deep_reinforcement_learning
Spaced repetition memorization/learning software
into long-term memory, and is a practical application of the spaced repetition learning method that has been proposed for efficient instruction by a number
SuperMemo
Set of methods for supervised statistical learning
In machine learning, a support vector machine (SVM) or support vector network is a supervised max-margin model with associated learning algorithms that
Support_vector_machine
Satellite series for military customers
division of SpaceX's Starlink subsidiary creating purpose-built low-Earth-orbit (LEO) satellites designed to provide new military space capabilities
SpaceX_Starshield
Branch of machine learning
In machine learning, deep learning (DL) focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation
Deep_learning
is a timeline of machine learning. Major discoveries, achievements, milestones, and other major events in machine learning are included. History of artificial
Timeline_of_machine_learning
Intelligence in machines
to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is also
Artificial_intelligence
Machine learning paradigm
representation learning. Autoencoders consist of an encoder network that maps the input data to a lower-dimensional representation (latent space), and a decoder
Self-supervised_learning
Method of machine learning
In computer science, online machine learning is a method of machine learning in which data becomes available in a sequential order and is used to update
Online_machine_learning
Algorithm for modelling sequential data
In deep learning, the transformer is a family of artificial neural network architectures based on the multi-head attention mechanism, in which input data
Transformer_(deep_learning)
Machine learning technique
experts (MoE) is a machine learning technique where multiple expert networks (learners) are used to divide a problem space into homogeneous regions. MoE
Mixture_of_experts
Interdisciplinary research area
machine learning. QML algorithms use qubits and quantum operations to try to improve the space and time complexity of classical machine learning algorithms
Quantum_machine_learning
American computer scientist (1953–2020)
machine translation, (7) Robust case-frame parsing, (8) Seeded version-space learning and (9) Invention of transformational and derivational analogy,
Jaime_Carbonell
Statistics and machine learning technique
structure to exist among those alternatives. Supervised learning algorithms search through a hypothesis space to find a suitable hypothesis that will make good
Ensemble_learning
and vector space model toolkit JAX — machine learning library for numerical computing and automatic differentiation H2O — machine learning and predictive
Lists of open-source artificial intelligence software
Lists_of_open-source_artificial_intelligence_software
Spaced repetition software developed in 2003
memory, Mnemosyne) is a line of spaced repetition software developed since 2003. Spaced repetition is an evidence-based learning technique that has been shown
Mnemosyne_(software)
Canadian actor (born 1931)
covers of Pink Floyd's "Learning to Fly", David Bowie's "Space Oddity" and Queen's "Bohemian Rhapsody". In 2021, Shatner flew into space aboard Blue Origin
William_Shatner
Image-generating machine learning model
Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative AI technology is the premier product
Stable_Diffusion
Building at the University of Pittsburgh
the Cathedral of Learning, to provide a dramatic symbol of education for the city and alleviate overcrowding by adding much needed space in order to meet
Cathedral_of_Learning
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
1978 video game
earlier game, the 1974 Speed Race, his favorite project over Space Invaders. After learning how much the game is still played and appreciated decades later
Space_Invaders
List of Android operating system versions
The version history of the Android mobile operating system began with the public release of its first beta on November 5, 2007. The first commercial version
Android_version_history
Reinforcement learning algorithms
Specialized for continuous action spaces. Reinforcement learning Policy gradient method Deep reinforcement learning Arulkumaran, Kai; Deisenroth, Marc
Actor-critic_algorithm
Type of database that uses vectors to represent other data
from the raw data using machine learning methods such as feature extraction algorithms, word embeddings or deep learning networks. The goal is that semantically
Vector_database
2022 AI-generated artwork
Théâtre D'opéra Spatial (pronounced [teɑtʁ dɔpeʁa spasjal]; French for 'Space Opera Theater') is a digital arts piece generated and edited by American
Théâtre_D'opéra_Spatial
Type of machine learning model
A large language model (LLM) is a machine learning model (typically a neural network) trained on a vast amount of text for natural language processing
Large_language_model
Machine learning technique
In machine learning, reinforcement learning from human feedback (RLHF) is a technique to align an intelligent agent with human preferences. It involves
Reinforcement learning from human feedback
Reinforcement_learning_from_human_feedback
Parameter-efficient fine-tuning technique for large language models
gigabytes). The technique applies broadly to any dense layers in deep learning models, though it has been most extensively studied in the context of large
LoRA_(machine_learning)
The state space of is Go is around 10^170 possible board states compared to the 10^120 board states for Chess. Prior to recent deep learning models, AI
Machine learning in video games
Machine_learning_in_video_games
Diffusion model over latent embedding space
diffusion model architecture developed by the CompVis (Computer Vision & Learning) group at LMU Munich. Introduced in 2015, diffusion models (DMs) are trained
Latent_diffusion_model
Computational model used in machine learning
In machine learning, a neural network (NN) or artificial neural network (ANN) is a computational model inspired by the structure and functions of biological
Neural network (machine learning)
Neural_network_(machine_learning)
Technique for shaping training datasets
learned on that dataset. In many machine learning problems, the data to be learned do not cover the entire input space. For example, a facial recognition system
Manifold_regularization
Large language model family by SpaceXAI
9, 2025. On January 2, 2025, SpaceXSI updated the Grok logo. On February 4, 2025, SpaceXSI released an Android version of their standalone Grok app.
Grok_(chatbot)
Topics referred to by the same term
problems Version space, developed via machine learning, is the subset of all hypotheses that are consistent with the observed training examples Space (disambiguation)
Search_space
2017 paper conceptualizing the transformer-based deep learning architecture
research paper on machine learning authored by eight scientists and engineers working at Google. The paper introduced a new deep learning architecture known
Attention_Is_All_You_Need
Range of neurodevelopmental conditions
Learning disability, or learning disorder, is a condition in the brain that causes difficulties comprehending or processing information and can be caused
Learning_disability
American educational technology company
and chess. The learning method incorporates gamification to motivate users with points, rewards and interactive lessons featuring spaced repetition. The
Duolingo
Algebraic structure in linear algebra
In mathematics, a vector space (also called a linear space) is a set whose elements, often called vectors, can be added together and multiplied ("scaled")
Vector_space
1969 song by David Bowie
In mid-December 1969, Philips requested a new version of "Space Oddity" with Italian lyrics after learning that one had already been recorded in Italy.
Space_Oddity
Term in education
learning environment can refer to an educational approach, cultural context, or physical setting (the learning space) in which teaching and learning occur
Learning_environment
1998 video game compilation
on a Windows and Macintosh hybrid CD-ROM in December 1998. Additional versions were then released for the PlayStation 2, Xbox, and GameCube by Crave Entertainment
Intellivision_Lives!
Proprietary software for learning foreign languages and writing systems
Language Learning is proprietary, computer-assisted language learning (CALL) software published by Rosetta Stone Inc, part of the IXL Learning family of
Rosetta_Stone_(software)
Free and open-source flashcard program
primary mechanism of evolving card review intervals. In 2023 (version 23.10) the Free Spaced Repetition Scheduler (FSRS), a new scheduling algorithm, was
Anki
Chinese modular space station (since 2021)
The Tiangong space station (Chinese: 天宫; pinyin: Tiāngōng; lit. 'Heavenly Palace'), officially the China Space Station (CSS) in English, is China's first
Tiangong_space_station
Knowledge base and note-taking software
optional commercial licenses, and early access versions are paid. It is available as desktop versions for macOS, Windows and Linux as well as for mobile
Obsidian_(software)
Educational mathematics application
and maintained by Microsoft, it was primarily targeted at students as a learning tool. Until 2015, it ran on Microsoft Windows. Since then, it has been
Microsoft_Math_Solver
Industrialist and technologist (born 1971)
justification. In August 2013, Musk announced plans for a version of a vactrain, and assigned engineers from SpaceX and Tesla to design a transport system between
Elon_Musk
SpaceX satellite Internet constellation
services would be necessary to fund SpaceX's Mars plans. Furthermore, SpaceX has long-term plans to develop and deploy a version of the satellite communication
Starlink
Machine learning framework
A generative adversarial network (GAN) is a class of machine learning frameworks and a prominent framework for approaching generative AI. The concept was
Generative adversarial network
Generative_adversarial_network
Solving multiple machine learning tasks at the same time
Inherently, multi-task learning is a multi-objective optimization problem having trade-offs between different tasks. Early versions of MTL were called "hints"
Multi-task_learning
Educational framework
of flexible learning environments and learning spaces that can accommodate individual learning differences. Universal Design for Learning is a set of
Universal_Design_for_Learning
Language learning platform
Duolingo. Memrise uses spaced repetition to accelerate language acquisition. Spaced repetition is an evidence-based learning technique that incorporates
Memrise
Mobile video game series
of which are modeled after the original Nokia 3310 version, often with some gimmicks added. Space Impact is a shoot 'em up game and the player has the
Space_Impact
Paradigm in machine learning
feature learning with clustering algorithms. The data lie approximately on a manifold of much lower dimension than the input space. In this case learning the
Weak_supervision
AI that generates content
and decision plans such as in prototype autonomous spacecraft. Machine learning uses both discriminative models and generative models to predict or generate
Generative_AI
Education with small learning units
Microlearning refers to a set of compact e-learning modules that are designed to reduce learner fatigue. The modules can be educational, professional,
Microlearning
Learning strategy
Distributed practice (also known as spaced repetition, the spacing effect, or spaced practice) is a learning strategy, where practice is broken up into
Distributed_practice
British science fiction TV series (1975–1977)
TV Guide magazine in some markets to secure coverage of Space: 1999 in its pages upon learning of ITC's somewhat poor promotional efforts. By September
Space:_1999
Machine learning software library
from Google. In March 2018, Google announced TensorFlow.js version 1.0 for machine learning in JavaScript. In Jan 2019, Google announced TensorFlow 2.0
TensorFlow
Technique for the generative modeling of a continuous probability distribution
In machine learning, diffusion models, also known as diffusion-based generative models or score-based generative models, are a class of latent variable
Diffusion_model
Indian national space and aeronautics agency
The Indian Space Research Organisation (ISRO /ˈɪsroʊ/) is the national space agency of India, headquartered in Bengaluru, Karnataka. It serves as the
ISRO
Cloud-based service and infrastructure
Workspace (G Suite), enterprise versions of Android and ChromeOS, and application programming interfaces (APIs) for machine learning and enterprise mapping services
Google_Cloud_Platform
Version 6 of the Internet Protocol
Internet Protocol version 6 (IPv6) is the most recent version of the Internet Protocol (IP), the communications protocol that provides an identification
IPv6
1982 science fiction novel by Arthur C. Clarke
sequel to his 1968 novel 2001: A Space Odyssey, though Clarke changed some elements of the story to align with the film version of 2001. Set in the year 2010
2010:_Odyssey_Two
Machine-learning process
generally, grammatical inference is that branch of machine learning where the instance space consists of discrete combinatorial objects such as strings
Grammar_induction
Geometric space with four dimensions
Four-dimensional (4D) space is the mathematical extension of the concept of three-dimensional space (3D). Three-dimensional space is the simplest possible
Four-dimensional_space
Language learning platform
Busuu is a language learning platform on web, Windows iOS and Android that allows users to interact with native speakers. In 2021, Chegg acquired Busuu
Busuu
Hyperparameter optimization framework
machine learning models. It was first introduced in 2018 by Preferred Networks, a Japanese startup that works on practical applications of deep learning in
Optuna
E-learning software specification
(xAPI) is an e-learning software specification that records and tracks various types of learning experiences for learning systems. Learning experiences are
Experience_API
Short chains of 2–50 amino acids
the pharmaceutical market is based on peptide products. Machine learning and deep learning architectures are extensively utilized to classify, screen, and
Peptide
A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. LLMs are language
List_of_large_language_models
flashcard software. Flashcards are widely used as a learning drill to aid memorization by way of spaced repetition. The following table compares artificial
List_of_flashcard_software
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
Machine learning technique
Gradient boosting is a machine learning technique based on boosting in a functional space, where the target is pseudo-residuals instead of residuals as
Gradient_boosting
American award given to astronauts
Museum of Space History :: Inductee Profile". www.nmspacemuseum.org. Retrieved May 7, 2017. Learning, Jones & Bartlett (2010). Exploring Space: The High
Congressional Space Medal of Honor
Congressional_Space_Medal_of_Honor
Personality model consisting of five broad dimensions
Big Five to "learning styles", or "learning styles" to learning itself. However, the APS report also suggested that all existing learning styles have not
Big_Five_personality_traits
Mathematical model combining space and time
In physics, spacetime, or the space-time continuum, is a mathematical model that fuses the three dimensions of space and the one dimension of time into
Spacetime
Learner-centric pedagogy
Problem-based learning (PBL) is a teaching method in which students aim to learn about a subject through the experience of solving an open-ended problem
Problem-based_learning
2010 Russian animated film
Space Dogs (a.k.a. Belka & Strelka — Star Dogs, original: Белка и Стрелка. Звёздные собаки, Belka i Strelka. Zvyozdnye sobaki) is a 2010 Russian animated
Space_Dogs
Area of machine learning
1987) Hypothesis testing algorithms (e.g., RULEX) Horn clause induction Version spaces Rough set rules Inductive Logic Programming Boolean decomposition (Feldman)
Rule_induction
Educational tool for learning object-oriented programming
cross-platform educational tool for learning object-oriented programming concepts. In particular, the program helps learning concepts such as objects, methods
Jeroo
1993 video game
December, The Columbian wrote that children enjoyed learning about outer space, and that Where in Space was better than other Carmen Sandiego games they
Where in Space Is Carmen Sandiego?
Where_in_Space_Is_Carmen_Sandiego?
American social networking service
Bastrop, Texas, and owned by X Corp., a subsidiary of SpaceXSI, a subsidiary of the public company SpaceX. It is one of the world's largest social media platforms
X_(social_network)
Data model
Learning Object Metadata is a data model, usually encoded in XML, used to describe a learning object and similar digital resources used to support learning
Learning_object_metadata
Internal representation of world by AI
versions power robots, autonomous driving, and interactive video generation. Jürgen Schmidhuber introduced the term world model in machine learning in
World model (artificial intelligence)
World_model_(artificial_intelligence)
Smooth approximation of one-hot arg max
some prefer to describe the one-hot version as "softargmax". The term "softmax" is conventional in machine learning. Formally, instead of considering the
Softmax_function
English science fiction writer (1917–2008)
in Sri Lanka and learning its history also inspired the backdrop for his novel The Fountains of Paradise in which he described a space elevator. This,
Arthur_C._Clarke
Structuring text as input to generative artificial intelligence
in-context learning is temporary. Training models to perform in-context learning can be viewed as a form of meta-learning, or "learning to learn". Research
Prompt_engineering
European organisation dedicated to space exploration
The European Space Agency (ESA; pronounced /ˈiːsə/ EE-sə) is a 23-member international organisation devoted to space exploration. It has its headquarters
European_Space_Agency
travel, tourism, insurance
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