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Distance from a data point to a decision boundary
In machine learning, the margin of a data point is a measure of its separation from a classifier's decision boundary. A common distinction is made between
Margin_(machine_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
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
Machine learning strategy
Active learning is a special case of machine learning in which a learning algorithm can interactively query a human user (or some other information source)
Active learning (machine learning)
Active_learning_(machine_learning)
Topics referred to by the same term
financial collateral used to cover credit risk Contribution margin Gross margin Margin (machine learning), the distance between a decision boundary and a data
Margin
Overview of and topical guide to machine learning
outline is provided as an overview of, and topical guide to, machine learning: Machine learning (ML) is a subfield of artificial intelligence within computer
Outline_of_machine_learning
Ensemble learning method
In machine learning (ML), boosting is an ensemble learning method that combines a set of less accurate models (called "weak learners") to create a single
Boosting_(machine_learning)
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
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)
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
Set of learning techniques in machine learning
In machine learning (ML), representation learning or feature learning is a set of techniques that allow a system to automatically discover the representations
Representation_learning
Intelligence in machines
develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximise
Artificial_intelligence
Machine learning calibration technique
In machine learning, Platt scaling or Platt calibration is a way of transforming the outputs of a classification model into a probability distribution
Platt_scaling
Approach to machine learning lifecycle management
deploy and maintain machine learning models in production reliably and efficiently. It bridges the gap between machine learning development and production
MLOps
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
Loss function in machine learning
In machine learning, hinge loss is a loss function used for training classifiers. Hinge loss is used for "maximum-margin" classification, most notably
Hinge_loss
Computer backgammon program (1992)
it is an artificial neural net trained by a form of temporal-difference learning, specifically TD-Lambda. It explored strategies that humans had not pursued
TD-Gammon
Machine learning algorithm
In machine learning (ML), a margin classifier is a type of classification model which is able to give an associated distance from the decision boundary
Margin_classifier
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
Notion in computational learning theory
computational learning theory of how a machine learning algorithm output is changed with small perturbations to its inputs. A stable learning algorithm is
Stability_(learning_theory)
American computer scientist
– November 18, 2013) was a professor and researcher in the area of machine learning and applications to computational linguistics and computer vision.
Ben_Taskar
Statistical machine learning algorithm for metric learning
Large margin nearest neighbor (LMNN) classification is a statistical machine learning algorithm for metric learning. It learns a pseudometric designed
Large_margin_nearest_neighbor
Structure in biology and artificial intelligence
nervous systems – a population of nerve cells connected by synapses. In machine learning, an artificial neural network is a mathematical model used to approximate
Neural_network
Family of machine learning techniques
referred to as hard negative sampling, is a family of techniques in machine learning for selecting or constructing negative samples more difficult to distinguish
Hard_negative_mining
Tree-based ensemble machine learning methods
Boosting – Ensemble learning method Decision tree learning – Machine learning algorithm Ensemble learning – Statistics and machine learning technique Gradient
Random_forest
Supervised learning of a similarity function
Similarity learning is an area of supervised machine learning in artificial intelligence. It is closely related to regression and classification, but the
Similarity_learning
Function for machine learning algorithms
Triplet loss is a machine learning loss function widely used in one-shot learning, a setting where models are trained to generalize effectively from limited
Triplet_loss
French-born researcher in machine learning (born 1961)
August 15, 1961) is a French-born researcher in machine learning known for her work on support-vector machines, artificial neural networks and bioinformatics
Isabelle_Guyon
Process of finding the optimal set of variables for a machine learning algorithm
In machine learning, hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter
Hyperparameter_optimization
Supervised boosting classification model
algorithm for learning such a classification function, given a set of training examples with known class labels. LPBoost is a machine learning technique especially
LPBoost
German scientist
work in face and object recognition and his contributions to quantum machine learning. He is currently Vice President of Engineering at Google where he leads
Hartmut_Neven
Adaptive boosting based classification algorithm
margin explanation of boosting algorithm" (PDF). In: Proceedings of the 21st Annual Conference on Learning Theory (COLT'08): 479–490. On the margin explanation
AdaBoost
Computer scientist
"For significant contributions to many topics in machine learning, including reinforcement learning, temporal difference techniques, and neural networks
Richard_S._Sutton
Artificial neural networks (ANNs) are models created using machine learning to perform a number of tasks. While the computational implementations of ANNs
History of artificial neural networks
History_of_artificial_neural_networks
American educational software company
The Learning Company (TLC) was an American educational software company founded in 1980 in Palo Alto, California and headquartered in Fremont, California
The_Learning_Company
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
In machine learning, the kernel perceptron is a variant of the popular perceptron learning algorithm that can learn kernel machines, i.e. non-linear classifiers
Kernel_perceptron
Jennings, by a significant margin. Watson was trained on information available on the internet. In 2012, AlexNet, a deep learning model, developed by Alex
History of artificial intelligence
History_of_artificial_intelligence
Machine learning problem
In machine learning, a probabilistic classifier is a classifier that is able to predict, given an observation of an input, a probability distribution over
Probabilistic_classification
Assumptions for inference in machine learning
allows a learning algorithm to prioritize one solution (or interpretation) over another, independently of the observed data. In machine learning, the aim
Inductive_bias
Problem in machine learning and statistical classification
In machine learning and statistical classification, multiclass classification or multinomial classification is the problem of classifying instances into
Multiclass_classification
American computer scientist and statistician (born 1976)
specializing in machine learning and known for her work in interpretable machine learning. She is the director of the Interpretable Machine Learning Lab at Duke
Cynthia_Rudin
Class of statistical modeling methods
In pattern recognition and machine learning, conditional random field (CRF) is a class of statistical modeling methods often used for structured prediction
Conditional_random_field
Romanian-American computer scientist
whose research investigates machine learning, algorithmic game theory, theoretical computer science, including active learning, kernel methods, random-sampling
Maria-Florina_Balcan
Regression analysis for modeling ordinal data
Other methods rely on the principle of large-margin learning that also underlies support vector machines. Another approach is given by Rennie and Srebro
Ordinal_regression
Vectorizing features using a hash function
In machine learning, feature hashing, also known as the hashing trick (by analogy to the kernel trick), is a fast and space-efficient way of vectorizing
Feature_hashing
Geometric property of a pair of sets of points in Euclidean geometry
hyperplane if they are, arises in several areas. In statistics and machine learning, classifying certain types of data is a problem for which good algorithms
Linear_separability
Machine which dispenses products to customers
the large digital touch display, internet connectivity, deep learning and machine learning technologies, cameras and various types of sensors, more cost-effective
Vending_machine
Educational learning method using computer algorithms and AI
Adaptive learning, also known as adaptive teaching, is an educational method which uses computer algorithms as well as artificial intelligence to orchestrate
Adaptive_learning
Marks made in margins of book pages
Biblical manuscripts have notes in the margin, for liturgical use. Numbers of texts' divisions are given at the margin (κεφάλαια, Ammonian Sections, Eusebian
Marginalia
German-American executed for kidnapping and murder (1899–1936)
a gas station was on the list of Lindbergh ransom bills. On the bill's margin, the attendant, who found the certificate suspicious, had written the license
Bruno_Richard_Hauptmann
Machine learning algorithm
The structured supportvector machine is a machine learning algorithm that generalizes the support vector machine (SVM) classifier. Whereas the SVM classifier
Structured support vector machine
Structured_support_vector_machine
Iterative method for finding a linear decision boundary
The Ho–Kashyap algorithm is an iterative method in machine learning for finding a linear decision boundary that separates two linearly separable classes
Ho–Kashyap_algorithm
Machine learning algorithm
Margin-infused relaxed algorithm (MIRA) is a machine learning and online algorithm for multiclass classification problems. It is designed to learn a set
Margin-infused relaxed algorithm
Margin-infused_relaxed_algorithm
Indian electrical engineer and academic
data," British Machine Vision Conference (BMVC), Dundee, 2011. T. M. Feroz Ali and Subhasis Chaudhuri, “Maximum Margin Metric Learning over Discriminative
Subhasis_Chaudhuri
Boolean classifier from one decision
A decision stump is a machine learning model consisting of a one-level decision tree. That is, it is a decision tree with one internal node (the root)
Decision_stump
Generative AI chatbot by OpenAI
of its responses. In January 2023, the International Conference on Machine Learning banned any undocumented use of ChatGPT or other large language models
ChatGPT
OpenAI text-to-video models (2024–2026)
75% of film companies that had adopted AI reduced the workload by a great margin till the need for employees lowered, which led to these companies reducing
Sora_(text-to-video_model)
Statistical classification in machine learning
In machine learning, a linear classifier makes a classification decision for each object based on a linear combination of its features. A simpler definition
Linear_classifier
Measure of value difference between best possible decision and made decision
overestimate the regret they will feel when missing a desired outcome by a narrow margin. In one study, commuters predicted they would experience greater regret
Regret_(decision_theory)
Zappa confluentus - A Fish Called Zappa Archived 2009-04-13 at the Wayback Machine Carnevale, G.; Collette, B. B. (2014). "†Zappaichthys harzhauseri, gen
List of organisms named after famous people (born 1925–1949)
List_of_organisms_named_after_famous_people_(born_1925–1949)
Israeli professor of Computer Science
of the Speech, Language, and Deep Learning Lab. His research focuses on human speech processing and machine learning. Keshet was born in Tel-Aviv. He graduated
Joseph_Keshet
Non-parametric classification method
In statistics and machine learning, the k-nearest neighbors algorithm (k-NN) is a non-parametric supervised learning method that assigns weightage only
K-nearest_neighbors_algorithm
Characterizes a recent neural network architecture providing advances in time series deep learning
In deep learning, state space models (SSMs) are a type of neural network used to process long streams of sequential data, such as text, speech, or sensor
State space model (deep learning)
State_space_model_(deep_learning)
American multinational technology company
streaming (YouTube Music), video on demand (YouTube TV), AI (Gemini), machine learning APIs (TensorFlow), AI chips (TPU), and more. Many of these products
Australian businessman
by margin calls". Sydney Morning Herald. Archived from the original on 2 May 2008. Retrieved 30 April 2008. "ASX closely monitoring ABC Learning". Australian
Eddy_Groves
Statistical model for a binary dependent variable
§ History. Logistic regression is used in various fields, including machine learning, most medical fields, and social sciences. For example, the Trauma
Logistic_regression
also known as synthetic intelligence. Timeline of machine translation Timeline of machine learning Timeline of artificial intelligence risks in global
Timeline of artificial intelligence
Timeline_of_artificial_intelligence
Country in Northern Europe
language". LRT. 23 August 2024. Retrieved 9 May 2025. "Foreign language learning statistics". Eurostat. "Kiek ir kokių kalbų mokame?" [How many and which
Lithuania
Topics referred to by the same term
experts (MoE), a machine learning technique Molecular Operating Environment, a software system sold by Chemical Computing Group Margin of error, the amount
Moe
Anatomical detail in the ankle
2006-05-07 at the Wayback Machine Portal: Anatomy Thompson, Jon C. Netter's concise atlas of orthopaedic anatomy. Icon Learning Systems, 2002. 349-351
Deltoid_ligament
Joseph; Singer, Yoram (2004). Large margin hierarchical classification. International Conference on Machine Learning. doi:10.1145/1015330.1015374. Retrieved
Ofer_Dekel_(researcher)
Algorithm for solving the quadratic programming problem from training SVMs
yi ∈ {-1, +1} is a binary label corresponding to it. A soft-margin support vector machine is trained by solving a quadratic programming problem, which
Sequential minimal optimization
Sequential_minimal_optimization
American artistic gymnast (born 1997)
Shanon's children in the north Houston suburb of Spring, Texas, after learning his grandchildren were in foster care. In 2003, the couple formally adopted
Simone_Biles
Neighbourhood components analysis is a supervised learning method for classifying multivariate data into distinct classes according to a given distance
Neighbourhood components analysis
Neighbourhood_components_analysis
American fantasy-adventure television series
24, 2025. Pucci, Douglas (July 29, 2025). "Monday Ratings: NBC with Slim Margin Victory in Adults 18-49 and 25-54". Programming Insider. Retrieved July
The Librarians: The Next Chapter
The_Librarians:_The_Next_Chapter
Philosophical movement
December 5, 2016. Glenn, Linda MacDonald (2002). Biotechnology at the margins of personhood: an evolving legal paradigm (Master of Laws thesis). McGill
Transhumanism
Deep neural network-based chess engine
by the engine are trained through supervised learning on data generated by previous reinforcement learning runs. As of June 2025[update], Leela Chess Zero
Leela_Chess_Zero
American multinational technology company
is a technology platform that uses natural language processing and machine learning to reveal insights from large amounts of unstructured data. Watson
IBM
American politician (born 1987)
statewide margin of approximately 55,000 votes. He ran slightly behind Warnock, who defeated Kelly Loeffler by 70,400 votes by also running up his margins in
Jon_Ossoff
Most populous city in the United States
costs of any American city; New York County (Manhattan) is by a significant margin the most expensive U.S. county in terms of average home price per square
New_York_City
Country in West Africa
being elected again in 2024, by beating Mahamudu Bawumia by the 4th largest margin since 1992. To combat deforestation, on 11 June 2021, Ghana inaugurated
Ghana
American football player and commentator (born 1977)
Patriots' 59–0 victory over the Titans tied the record for the largest margin of victory since the 1970 AFL-NFL merger, and set a record for largest halftime
Tom_Brady
Mayor of New York City since 2026
large lead over Cuomo, who conceded the race that evening. His polling margin was increased by ranked choice voting, particularly because he and third-favored
Zohran_Mamdani
Country in South America
interruption, the official count showed Morales fractionally clearing the 10-point margin he needed to avoid a runoff election, with the final official tally counted
Bolivia
Measures of observational error
of cognitive augmentation. Bias–variance tradeoff in statistics and machine learning Accepted and experimental value Data quality Engineering tolerance
Accuracy_and_precision
English drummer (1948–1980)
in Redditch, Worcestershire, England, to Joan and Jack Bonham. He began learning to play drums at age five, making a kit of containers and coffee tins,
John_Bonham
Island country in Southeast Asia
their brothels as well as rented apartments and hostels for higher profit margins when they get a cut from customers. In response, amendments were made to
Singapore
Software company (1986–1999)
1986 in Toronto, Ontario. It was known as the Learning Company from 1995 to 1999 after acquiring the Learning Company and taking its name. SoftKey played
SoftKey
wide margin. Neural-network-based systems such as AlphaZero demonstrated that superhuman performance could be achieved through reinforcement learning from
Progress in artificial intelligence
Progress_in_artificial_intelligence
Country in North America
referendum followed in 1995, in which sovereignty was rejected by a slimmer margin of 50.6 to 49.4 percent. In 1997, the Supreme Court ruled unilateral secession
Canada
Process of determining what a company will receive in exchange for its products
and low margins also act as a deterrent, preventing potential rivals from entering the market since they would have to undercut the low margins to gain
Pricing
1952 25th 0 1 The Miracle of Our Lady of Fatima 1952 25th 0 1 The Narrow Margin 1952 25th 0 1 The Pride of St. Louis 1952 25th 0 1 The Romance of Transportation
List of Academy Award–nominated films
List_of_Academy_Award–nominated_films
variation differentiating dinosaur tracks with the use of unsupervised machine learning, and use it to study affinities of controversial dinosaur tracks, reporting
2026 in archosaur paleontology
2026_in_archosaur_paleontology
American actor and producer (born 1937)
web site. Firestone, David (April 18, 2001). "Mississippi Votes by wide margin to keep state flag That includes Confederate emblem". The New York Times
Morgan_Freeman
15th-century codex in an unknown script
a page, with a slightly ragged right margin and paragraph divisions and sometimes with stars in the left margin. Other text occurs in charts or as labels
Voynich_manuscript
Additive process used to make a 3D object
make objects 96 feet long, or 29 meters. In 2024, researchers used machine learning to improve the construction of synthetic bone and set a record for
3D_printing
Buying and selling financial instruments within the same trading day
and sale (or sale and purchase) of the same security on the same day in a margin account, covering a range of securities including options. An individual
Day_trading
Party Meng defeated Park by a 14 percent margin; a poor performance for an incumbent and a substantially lower margin than many observers expected. Meng's
2026 United States House of Representatives elections in New York
2026_United_States_House_of_Representatives_elections_in_New_York
Country in South Asia
subcontinent from Africa by 55,000 years ago. Settled life emerged in the western margins of the Indus river basin 9,000 years ago, evolving into the Indus Valley
India
travel, tourism, insurance
MARGIN MACHINE-LEARNING
MARGIN MACHINE-LEARNING
Girl/Female
Bengali, Indian
Machine
Female
French
Feminine form of French Marin, MARINE means "of the sea."
Male
English
Variant spelling of English Mervin, MARVIN means "marrow-eminent."Â
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’.
Male
French
 French form of Roman Latin Martinus, MARTIN means "of/like Mars." Compare with another form of Martin.
Boy/Male
American, British, Danish, English
Blend of Daryl and Marvin
Male
French
French form of Latin Macarius, MACAIRE means "blessed."
Female
Hungarian
Hungarian and Scandinavian form of Greek Margarites, MARGIT means "pearl."
Male
English
 English form of Roman Latin Martinus, MARTIN means "of/like Mars." Compare with another form of Martin.
Female
Scottish
Feminine form of Scottish Lachlan, LACHINA means "lake-land."
Female
German
German form of Scottish Malvina, MALWINE means "smooth-brow."
Male
French
French form of Roman Latin Marinus, MARIN means "of the sea."
Female
Native American
Native American Hopi name KACHINA means "sacred dancer; spirit."
Girl/Female
Australian, Japanese
Child of Machi
Boy/Male
American, Anglo, Australian, British, English, German, Swedish, Teutonic
Lover of the Sea; Form of Marvin; Sea Lover; Eminent; Great; Marrow
Female
French
French feminine form of Latin Martinus, MARTINE means "of/like Mars."Â
Female
Hawaiian
Hawaiian name MAHINA means "moon; moonlight."
Female
English
Variant spelling of English Maureen, MAURINE means "obstinacy, rebelliousness" or "their rebellion."
Male
Polish
Polish form of Roman Latin Martinus, MARCIN means "of/like Mars."
Female
English
Pet form of English Margaret, MARGIE means "pearl."
MARGIN MACHINE-LEARNING
MARGIN MACHINE-LEARNING
MARGIN MACHINE-LEARNING
MARGIN MACHINE-LEARNING
MARGIN MACHINE-LEARNING
MARGIN MACHINE-LEARNING
MARGIN MACHINE-LEARNING
a.
Written or printed in the margin; as, a marginal note or gloss.
n.
A border; edge; brink; verge; as, the margin of a river or lake.
v. t.
To enter or note down upon the margin of a page; to margin.
imp. & p. p.
of Machine
a.
Formed by the action of the currents or waves of the sea; as, marine deposits.
a.
A picture representing some marine subject.
n.
See Malkin, and Maukin.
a.
Having a margin.
v. t.
To furnish with a margin.
n.
A combination of persons acting together for a common purpose, with the agencies which they use; as, the social machine.
imp. & p. p.
of Margin
v. t.
To subject to the action of machinery; to effect by aid of machinery; to print with a printing machine.
v. t.
To wind marline around; as, to marline a rope.
a.
Of or pertaining to the sea; having to do with the ocean, or with navigation or naval affairs; nautical; as, marine productions or bodies; marine shells; a marine engine.
n.
The working parts of a machine, engine, or instrument; as, the machinery of a watch.
n.
A margin; border; brink; edge.
n.
One who or operates a machine; a machinist.
v. t.
To enter in the margin of a page.
a.
The sum of naval affairs; naval economy; the department of navigation and sea forces; the collective shipping of a country; as, the mercantile marine.
a.
Of or pertaining to a margin.
travel, tourism, insurance