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Cost-sensitive machine learning is an approach within machine learning that considers varying costs associated with different types of errors. This method
Cost-sensitive machine learning
Cost-sensitive_machine_learning
Machine learning technique
learning efficiency. Since transfer learning makes use of training with multiple objective functions it is related to cost-sensitive machine learning
Transfer_learning
Process of acquiring new knowledge
humans, other animals, and some machines. There is also evidence for some kind of learning in certain plants. Some learning is immediate, induced by a single
Learning
Set of methods for supervised statistical learning
In machine learning, support vector machines (SVMs, also support vector networks) are supervised max-margin models with associated learning algorithms
Support_vector_machine
Statistical sampling techniques
samples and then minimize the total (scalarized) costs via cost-sensitive machine learning perform threshold tuning in a binary classification setting
Oversampling and undersampling in data analysis
Oversampling_and_undersampling_in_data_analysis
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
Decentralized machine learning
Federated learning (also known as collaborative learning) is a machine learning technique in a setting where multiple entities (often called clients)
Federated_learning
Model-free reinforcement learning algorithm
networks and can enable alternative control methods, such as risk-sensitive control. Q-learning has been proposed in the multi-agent setting (see Section 4
Q-learning
Research field that lies at the intersection of machine learning and computer security
Adversarial machine learning is the study of the attacks on machine learning algorithms, and of the defenses against such attacks. Machine learning techniques
Adversarial_machine_learning
Intelligence of machines
develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize
Artificial_intelligence
machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning
List of datasets for machine-learning research
List_of_datasets_for_machine-learning_research
Statistical law in machine learning
In machine learning, a neural scaling law is an empirical scaling law that describes how neural network performance changes as key factors are scaled up
Neural_scaling_law
Temporal limit of a model's knowledge
In machine learning, a knowledge cutoff (or data cutoff) is the point in time beyond which a model has not been trained on new data. The term is used in
Knowledge_cutoff
Meta-algorithmic technique to choose an algorithm
algorithm selected. A more modern approach is cost-sensitive hierarchical clustering using supervised learning to identify the homogeneous instance subsets
Algorithm_selection
Type of machine learning model
and performance via collaborative platforms such as Hugging Face. As machine learning algorithms process numbers rather than text, the text must be converted
Large_language_model
Technological phenomenon with social implications
Binns, Reuben (2017). "Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data". Big Data & Society. 4 (2):
Algorithmic_bias
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
Professor Emeritus of computer science and engineering (born 1965)
his foundational research in data stream analysis, cost-sensitive classification, adversarial learning, and Markov logic networks, as well as applications
Pedro_Domingos
2017 research paper by Google
research paper in 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
budget constraint. Donmez, P., Carbonell, J.G.: Proactive Learning: Cost-Sensitive Active Learning with Multiple Imperfect Oracles, in Proceedings of the
Proactive_learning
Algorithmically generated data that have a similar distribution as sampled data
data can be deployed to validate mathematical models and to train machine learning models. Data generated by a computer simulation can be seen as synthetic
Synthetic_data
Overview of and topical guide to algorithms
Linear regression Logistic regression Decision tree learning Random forest Support vector machine k-nearest neighbors algorithm Naive Bayes classifier
Outline_of_algorithms
Model of differential privacy
"local private learning" and showed it to be equivalent to randomized response. The era of big data exhibits a high demand for machine learning services that
Local_differential_privacy
Method to predict when equipment should be maintained
expected life statistics, to predict when maintenance will be required. Machine Learning approaches are adopted for the forecasting of its future states. Some
Predictive_maintenance
Flaw in mathematical modelling
from an overfitted machine learning model's training set. This may be undesirable if, for example, the training data includes sensitive personally identifiable
Overfitting
Class of artificial neural network
322 p. Nakano, Kaoru (1971). "Learning Process in a Model of Associative Memory". Pattern Recognition and Machine Learning. pp. 172–186. doi:10.1007/978-1-4615-7566-5_15
Recurrent_neural_network
Machine learning model for vision processing
exaFLOPs. Transformer (machine learning model) Convolutional neural network Attention (machine learning) Perceiver Deep learning PyTorch TensorFlow All
Vision_transformer
Machine learning system
Vowpal Wabbit (VW) is an open-source fast online interactive machine learning system library and program developed originally at Yahoo! Research, and currently
Vowpal_Wabbit
Paradigm in machine learning
Weak supervision (also known as semi-supervised learning) is a paradigm in machine learning, the relevance and notability of which increased with the
Weak_supervision
Statistical method in data analysis
on different scales or when the data contain outliers, as it is less sensitive to large deviations than Euclidean distance. Cosine distance measures
Hierarchical_clustering
and funding continued to grow under other names. In the early 2000s, machine learning was applied to a wide range of problems in academia and industry. The
History of artificial intelligence
History_of_artificial_intelligence
Distance education using mobile device technology
M-learning, or mobile learning, is a form of distance education or technology enhanced active learning where learners use portable devices such as mobile
M-learning
Statistical measure of a test's accuracy
Imbalanced Classification with Python: Better Metrics, Balance Skewed Classes, Cost-Sensitive Learning. Machine Learning Mastery. p. 40. ISBN 979-8468452240.
F-score
Machine learning optimization algorithm
Sharpness Aware Minimization (SAM) is an optimization algorithm used in machine learning that aims to improve model generalization. The method seeks to find
Sharpness_aware_minimization
American computer scientist (1953–2020)
detection in search engines,(2) Proactive machine learning for multi-source cost-sensitive active learning, (3) Linked conditional random fields for predicting
Jaime_Carbonell
Form of business process automation technology
security, especially for sensitive data and financial services. While robotic process automation has many benefits including cost efficiency and consistency
Robotic_process_automation
Management of personal data across media
Yuanhao; Petković, Milan; den,236 Hartog, Jerry (October 2012). "A machine learning solution to assess privacy policy completeness". Proceedings of the
Privacy_policy
Subfield of control engineering
Marc G. (2001). "Classes of Kernels for Machine Learning: A Statistics Perspective". Journal of Machine Learning Research. 2: 299–312. doi:10.1162/15324430260185646
Fault_detection_and_isolation
Change of statistical properties over time
In predictive analytics, data science, machine learning and related fields, concept drift or drift is an evolution of data that invalidates the data model
Concept_drift
Process of reducing the number of random variables under consideration
discriminant, a method used in statistics, pattern recognition, and machine learning to find a linear combination of features that characterizes or separates
Dimensionality_reduction
Electrical device which utilizes a sensor to detect nearby motion
digital screens to detect hand motions and gestures with the aid of machine learning algorithms. Many modern motion detectors use combinations of different
Motion_detector
Device used to perform financial transactions
transition given the high cost of the early machines. Additionally, executives were concerned that customers would resist having machines handling their money
ATM
Conversational software
Lefteris (2020). "Chatbots: History, technology, and applications". Machine Learning with Applications. 2 100006. doi:10.1016/j.mlwa.2020.100006. "2017
Chatbot
Process of determining what a company will receive in exchange for its products
component's share of the total cost of the end benefit, the less sensitive buyers will be to the component's price. Shared-cost effect: The smaller the portion
Pricing
train machine learning systems and use them in healthcare, massive amounts of data must be gathered. Acquiring this data, however, comes at the cost of patient
Artificial intelligence in healthcare
Artificial_intelligence_in_healthcare
List of concepts in artificial intelligence
plus the cost of reaching that neighbor. constrained conditional model (CCM) A machine learning and inference framework that augments the learning of conditional
Glossary of artificial intelligence
Glossary_of_artificial_intelligence
Models used to produce word embeddings
sequences, this representation can be widely used in applications of machine learning in proteomics and genomics. The results suggest that BioVectors can
Word2vec
Use of artificial intelligence in the automation of electronic design
Design Automation uses several methods, including machine learning, expert systems, and reinforcement learning. These are used for many tasks, from planning
AI-driven_design_automation
Concept of open-source software applied to AI
software began to gain more traction,[better source needed] the rise of machine learning and statistical methods also led to the development of more practical
Open-source artificial intelligence
Open-source_artificial_intelligence
capital cost and the cost of capital." The discount rate chosen to cost a nuclear power plant's capital over its lifetime is arguably the most sensitive parameter
Economics_of_nuclear_power
Aspect of robotics
used as control concepts. Adaptive approaches, fuzzy controllers and machine learning for force control are currently the subject of research. Controlling
Force_control
Categorization of computer network traffic
frequencies, packet sizes and packet inter-arrival times. Very often uses Machine Learning Algorithms, as K-Means, Naive Bayes Filter, C4.5, C5.0, J48, or Random
Traffic_classification
Compact encoding of digital data
theory and statistical inference. There is a close connection between machine learning and compression. A system that predicts the posterior probabilities
Data_compression
Image-generating machine learning model
Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology
Stable_Diffusion
found out that people expected a computer with a man's name to cost more than a machine with a woman's name. Other research finds that individuals perceive
Human–computer_interaction
Rotary unit of a machine tool
Hopewell, Eric S.; Janes, Brian; Sharp, Kent M. Jr. (2011). Precision Machining Technology. Cengage Learning. p. 356. ISBN 1435447670. Retrieved 2013-02-05.
Spindle_(tool)
Alpha profiling is an application of machine learning to optimize the execution of large orders in financial markets by means of algorithmic trading. The
Alpha_Profiling
Computerized information extraction from images
used in conjunction with machine learning techniques and complex optimization frameworks. The advancement of Deep Learning techniques has brought further
Computer_vision
Measurement that evaluates the success of an organization
such as machine performance. For example, a machine used for production in a factory would output various signals indicating how the current machine status
Performance_indicator
Test to determine whether a user is human
CAPTCHA include using cheap human labor to recognize them, and using machine learning to build an automated solver. According to former Google "click fraud
CAPTCHA
Process in legal proceedings
stored information and the increasing use of machine learning and other technologies to help curb the growing cost of document review. At times, even with
Document_review
B2B software company in Seattle, Washington
Washington. Its software-as-a-service utilizes machine learning to create databases of context-sensitive support answers for end-users of webpages and
AnswerDash
Chinese quantitative hedge fund and AI company
testing in trading the following year and then more broadly adopted machine learning-based strategies. In 2019, High-Flyer set up a SFC-regulated subsidiary
High-Flyer
Line of children's tablet computers
LeapPad in many ways, requiring no stylus to operate as it uses a touch-sensitive area, and even the ability to detect page changes automatically via a
LeapPad
U.S. government efficiency initiative
'significant' risk of sensitive data going to wrong hands under DOGE" (Text). The Hill. Retrieved March 16, 2025. "Meet the cost-cutting engineer who runs
Department of Government Efficiency
Department_of_Government_Efficiency
weights of CMAC. The convergence of using LMS for training CMAC is sensitive to the learning rate and could lead to divergence. In 2004, a recursive least
Cerebellar model articulation controller
Cerebellar_model_articulation_controller
Concept in machine learning
In machine learning and mathematical optimization, loss functions for classification are computationally feasible loss functions representing the price
Loss functions for classification
Loss_functions_for_classification
Computing company founded in 2014
that works with modern machine learning-based techniques to produce AI systems that are more interpretable, transparent, and cost effective, requiring less
Quantinuum
Input and output device
Wayback Machine, Japanese Semiconductor Industry Service - Volume II: Technology & Government Biferno, M. A.; Stanley, D. L. (1983). The Touch-Sensitive Control/Display
Touchscreen
Process to create executable computer programs
resources, including integrated development environments (IDEs), context-sensitive help, APIs, and other digital resources. Commercial software development
Computer_programming
Integrated approach to urban water cycle
Water-sensitive urban design (WSUD) is a land planning and engineering design approach which integrates the urban water cycle, including stormwater, groundwater
Water-sensitive_urban_design
2010s–present technological convergence era
Machines improve human efficiency in performing repetitive functions, and the combination of machine learning and computing power allows machines to
Fourth_Industrial_Revolution
Electric light bulb with a resistively heated wire filament
After automatic machinery was developed, the cost of bulbs fell. Until 1910, when Libbey's Westlake machine went into production, bulbs were generally produced
Incandescent_light_bulb
Kitchen robot
around 20 rotis starting from full compartments. Rotimatic uses machine learning so each machine takes some time to make good bread; they are also connected
Rotimatic
Vehicles designed for executing construction tasks
production and unit cost. There are three types of off-the-road tires, transport for earthmoving machines, work for slow moving earthmoving machines, and load and
Heavy_equipment
Form of shared internet-based computing
and machine learning, which might otherwise require significant in-house expertise and infrastructure investment. While cloud computing can offer cost advantages
Cloud_computing
Measure of "category goodness"
category utility in its probabilistic incarnation, with applications to machine learning, is provided in Witten and Frank's 2005 book. The probability-theoretic
Category_utility
Type of recurrent neural network with random and non-trainable internal structure
neural connections inside the liquid. CLSM showed promising results in learning sensitive time series data. This type of information processing is most relevant
Reservoir_computing
Organizing components structures and behaviors for any simple to complex system
Level Agreement Machine learning systems design focuses on building scalable, reliable, and efficient systems that integrate machine learning (ML) models
Systems_design
Signal processing computational method
in 2022 for economic espionage. Zheng used steganography to exfiltrate sensitive turbine technology by embedding proprietary data within image files for
Independent component analysis
Independent_component_analysis
and genetic algorithms, while Chris Santos-Lang argued in favor of machine learning on the grounds that the norms of any age must be allowed to change
Ethics of artificial intelligence
Ethics_of_artificial_intelligence
Branch of neuroscience
quantitative psychology, machine learning, artificial neural networks, artificial intelligence and computational learning theory; although mutual inspiration
Computational_neuroscience
Algorithm for measuring similarity between temporal sequences
to the popular UCR-Suite on CUDA-enabled accelerators. The JavaML machine learning library implements DTW. The ndtw C# library implements DTW with various
Dynamic_time_warping
Chinese businessman (born 1985)
Liang attended Zhejiang University, and began his career by applying machine learning methods to quantitative finance. Through High-Flyer, he built large-scale
Liang_Wenfeng
Electronic device or software application that provides audio translation
Learning a foreign language: Learning a foreign language can be made easier and less expensive using a mobile device equipped with real time machine translation
Mobile_translation
Type of performance-based marketing
percent use cost per action (CPA), and the remaining programs use other methods such as cost per click (CPC) or cost per mille (CPM, cost per estimated
Affiliate_marketing
Award in theoretical computer science
locality-sensitive hashing that has had great impact in many fields of computer science including computer vision, databases, information retrieval, machine learning
Paris_Kanellakis_Award
U.S. Patent Office awards program
low-cost phototherapy device for treating jaundice in infants, which causes 100,000 newborn deaths a year. Kinnos Inc. for creating time-sensitive color
Patents_for_Humanity
Educational complex in London, England
htm#06113068000088 Cost of Ashburton Learning Village Kelly visits Croydons 25 million flagship building Archived 29 September 2011 at the Wayback Machine "Private
Ashburton_Learning_Village
Process of extracting design information from anything artificial
probing sequences. In general, offline learning of small state-machines is known to be NP-complete, but online learning can be done in polynomial time. An
Reverse_engineering
Egyptian mathematician and educator (1911–1988)
budget" for learning. Human beings have a highly developed sense of the economics of their own energy and are very sensitive to the cost involved in using
Caleb_Gattegno
American artificial intelligence company
for deeply personal matters, which amplified concerns about AI handling sensitive data. CEO and co-founder: Sam Altman, former president of the start-up
OpenAI
Internet-like structure connecting everyday physical objects
technologies, including ubiquitous computing, sensors, embedded systems, and machine learning. Traditional fields of embedded systems, wireless sensor networks,
Internet_of_things
Statistical modeling method
domain of multivariate analysis. Linear regression is also a type of machine learning algorithm, more specifically a supervised algorithm, that learns from
Linear_regression
Airport serving Los Angeles, California, United States
fewer aircraft operations and residential areas tend to be more noise sensitive, additional changes are made to reduce noise. Between 10pm and 7am, air
Los Angeles International Airport
Los_Angeles_International_Airport
Lediju (2017-03-03). Oraevsky, Alexander A; Wang, Lihong V (eds.). "A machine learning approach to identifying point source locations in photoacoustic data"
Deep learning in photoacoustic imaging
Deep_learning_in_photoacoustic_imaging
Facility used to house computer servers
information, and they support the global financial system, cloud services, machine learning, and artificial intelligence (AI). Data centers vary widely in terms
Data_center
Removal of pubic hair using special wax
pulled off as swiftly as possible. The pubic area is one of the most sensitive areas in the body and during the procedure special attention must be paid
Bikini_waxing
Instrument that records seismic waves by measuring ground motions
seismometers, and at much lower cost than ocean-bottom seismometers. Researchers at Stanford University created a deep-learning algorithm called UrbanDenoiser
Seismometer
Act of cleaning one's hands
Archived 21 March 2017 at the Wayback Machine "How to Trigger for Handwashing with Soap". Sanitation Learning Hub. Retrieved 13 December 2021. UNICEF
Hand_washing
COST SENSITIVE-MACHINE-LEARNING
COST SENSITIVE-MACHINE-LEARNING
Male
Hindi/Indian
(सचिन) Hindi myth name borne by Indra, SACHIN means "pure."
Boy/Male
American, Australian
Weighing Machine
Female
English
Variant spelling of English Maureen, MAURINE means "obstinacy, rebelliousness" or "their rebellion."
Male
Hebrew
Variant spelling of Hebrew Yakiyn, YACHIN means "he establishes" or "whom God strengthens."Â
Female
Native American
Native American Hopi name KACHINA means "sacred dancer; spirit."
Female
German
German form of Scottish Malvina, MALWINE means "smooth-brow."
Male
English
Pet form of English Sacheverell, SACHIE means "roe-buck leap."
Female
English
Feminine form of English Max, MAXINE means either "the greatest rival" or "the stream of Mack."Â
Male
Scottish
Pet form of Scottish Gaelic Lachlann, LACHIE means "lake-land."
Female
Yiddish
(×™Ö·×—Ö°× Ö¶×¢) Yiddish form of Hebrew Yochana, YACHNE means "God is gracious."Â
Surname or Lastname
English
English : from Old French coit ‘flat stone’, probably a nickname for a skilled quoits player.
Male
French
French form of Latin Macarius, MACAIRE means "blessed."
Female
Hawaiian
Hawaiian name MAHINA means "moon; moonlight."
Surname or Lastname
English
English : variant spelling of Machen.Spanish (MachÃn) : probably a nickname from machÃn ‘boor’, ‘lout’, often applied to a blacksmith’s apprentice.French : nickname from Old French machin ‘scheming’.
Female
French
Feminine form of French Marin, MARINE means "of the sea."
Boy/Male
American, Australian, British, Chinese, Christian, English
Young Horse; Frisky; From the Dark Town; Diminutive of Colston; Unknown Owner of Property; Renowned Mariner; Colt
Girl/Female
Bengali, Indian
Machine
Female
French
French feminine form of Latin Martinus, MARTINE means "of/like Mars."Â
Girl/Female
Australian, Japanese
Child of Machi
Female
Scottish
Feminine form of Scottish Lachlan, LACHINA means "lake-land."
COST SENSITIVE-MACHINE-LEARNING
COST SENSITIVE-MACHINE-LEARNING
Girl/Female
Tamil
Prashansha | பà¯à®°à®·à®‚ஷா
Boy/Male
Indian
Servant of the all-preserver
Boy/Male
Australian, French, German, Greek, Italian, Portuguese, Spanish
God Given; Gift of God; Spanish Form of Theodore Gift from God
Male
English
Anglicized form of Hebrew Eythan, ETHAN means "enduring, long-lived."Â In the bible, this is the name of several characters, including a grandson of Judah.
Male
Russian
(ÐлекÑеÌй) Russian form of Greek Alexios, ALEKSEI means "defender."
Girl/Female
Gujarati, Hindu, Indian, Modern
Wealthy
Boy/Male
Hindu, Indian
Breath
Boy/Male
Hindu, Indian
Fish
Boy/Male
Assamese, Bengali, Indian
King
Boy/Male
Australian, Gaelic, Greek
Tranquil; Healer
COST SENSITIVE-MACHINE-LEARNING
COST SENSITIVE-MACHINE-LEARNING
COST SENSITIVE-MACHINE-LEARNING
COST SENSITIVE-MACHINE-LEARNING
COST SENSITIVE-MACHINE-LEARNING
a.
Readily affected or changed by certain appropriate agents; as, silver chloride or bromide, when in contact with certain organic substances, is extremely sensitive to actinic rays.
v. t.
To require to be given, expended, or laid out therefor, as in barter, purchase, acquisition, etc.; to cause the cost, expenditure, relinquishment, or loss of; as, the ticket cost a dollar; the effort cost his life.
a.
Having sense or sensibility; sensitive.
imp. & p. p.
of Machine
v. t.
To subject to the action of machinery; to effect by aid of machinery; to print with a printing machine.
n.
A combination of persons acting together for a common purpose, with the agencies which they use; as, the social machine.
v. t.
To wind marline around; as, to marline a rope.
a.
Having a capacity of being easily affected or moved; as, a sensitive thermometer; sensitive scales.
n.
Machines, in general, or collectively.
v. t.
To render sensitive, or susceptible of being easily acted on by the actinic rays of the sun; as, sensitized paper or plate.
n.
One who or operates a machine; a machinist.
n.
An agent that sensitizes.
imp. & p. p.
of Cost
a.
Not sensitive; wanting sensation, or wanting acute sensibility.
n.
The working parts of a machine, engine, or instrument; as, the machinery of a watch.
pl.
of Tachina
n.
The genitive case.
a.
Having sense of feeling; possessing or exhibiting the capacity of receiving impressions from external objects; as, a sensitive soul.
a.
Of or pertaining to machines.
a.
Of or pertaining to sensation; depending on sensation; as, sensitive motions; sensitive muscular motions excited by irritation.