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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)
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
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
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)
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)
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
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
Branch of statistics
Wayback Machine." NIPS. 2010. Lopez-Paz, David, et al. "Towards a learning theory of cause-effect inference Archived 13 March 2017 at the Wayback Machine" ICML
Causal_inference
Computational model used in machine learning
In machine learning, a neural network (NN) or neural net, is a computational model inspired by the structure and functions of biological neural networks
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
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
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
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
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
Set of learning techniques in machine learning
In machine learning (ML), feature learning or representation learning is a set of techniques that allow a system to automatically discover the representations
Feature_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
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
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
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
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
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
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
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
Loss function in machine learning
In machine learning, the hinge loss is a loss function used for training classifiers. The hinge loss is used for "maximum-margin" classification, most
Hinge_loss
Computer scientist
"For significant contributions to many topics in machine learning, including reinforcement learning, temporal difference techniques, and neural networks
Richard_S._Sutton
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
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
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
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
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
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
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
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
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
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
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
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
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
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
significant margin. Watson's expertise would have been impossible without the information available on the internet. In 2012, AlexNet, a deep learning model
History of artificial intelligence
History_of_artificial_intelligence
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
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
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
Class of statistical modeling methods
statistical modeling methods often applied in pattern recognition and machine learning and used for structured prediction. Whereas a classifier predicts a
Conditional_random_field
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
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
Non-parametric classification method
(supervised) metric learning. Popular algorithms are neighbourhood components analysis and large margin nearest neighbor. Supervised metric learning algorithms
K-nearest_neighbors_algorithm
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
Type of AI with wide-ranging abilities
would outperform the best human abilities across every domain by a wide margin. Unlike artificial narrow intelligence (ANI), whose competence is confined
Artificial general intelligence
Artificial_general_intelligence
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
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
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
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
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
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
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)
Video-generating LLM (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)
Joseph; Singer, Yoram (2004). Large margin hierarchical classification. International Conference on Machine Learning. doi:10.1145/1015330.1015374. Retrieved
Ofer_Dekel_(researcher)
presidential election was held the following which Maduro won by a tight margin as the PSUV's candidate. He was formally inaugurated on 19 April 2013. Most
History of democratic socialism
History_of_democratic_socialism
Game-playing artificial intelligence
a win against a strong opponent, the +28 –0 =72 result is a significant margin of victory. However, some grandmasters, such as Hikaru Nakamura and Komodo
AlphaZero
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
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 multinational technology company
Music), video on demand (YouTube TV), AI (Google Assistant and Gemini), machine learning APIs (TensorFlow), AI chips (TPU), and more. Many of these products
precise focus on even a single letter. Either or both the drawing lines and margin lines were adorned by artists in some corpuses. On certain folios throughout
Sikh_art
(Lower Cretaceous: Valanginian) via phylogenetic, discriminant and machine learning methods". Papers in Palaeontology. 10 (6). e1604. Bibcode:2024PPal
2024 in archosaur paleontology
2024_in_archosaur_paleontology
month. At the Chicago meeting on January 16, 1966, the USOC voted by a wide margin to select Salt Lake City as the U.S. candidate, with the city receiving
United States bids for the Olympic Games
United_States_bids_for_the_Olympic_Games
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)
(2025). Marques et al. (2025) compare the performance of different machine learning models used for identification of isolated theropod teeth. Theropod
2025 in archosaur paleontology
2025_in_archosaur_paleontology
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
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
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
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
Deputy prime minister of Romania (born 1941)
"anti-Securitate maniacs", and as such that they were being pushed to the margins. His own lawsuit with Drăgan now on an extended pause, Voiculescu tried
Gelu_Voican_Voiculescu
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
German chapbook
the Three Talismans. In this tale, a poor father lives in an aul by the margins of Lake Baikal with his three starving sons. One day, he takes a hunting
Fortunatus_(book)
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
Chatbot developed by Microsoft
which in turn have been fine-tuned using both supervised and reinforcement learning techniques. Copilot's conversational interface style resembles that of
Microsoft_Copilot
Centre-right political party in Germany
The CDU was nonetheless able to win the 1994 federal election by a narrow margin thanks to an economic recovery. Kohl served as chairman until the party's
Christian Democratic Union of Germany
Christian_Democratic_Union_of_Germany
Species of slug
correspondingly concave beneath, with a membranous margin. The apex or nucleus is at the posterior margin but inclined towards the left side, and forming
Limax_maximus
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
PMID 38077415. Wills, S.; Underwood, C. J.; Barrett, P. M. (2023). "Machine learning confirms new records of maniraptoran theropods in Middle Jurassic UK
2023 in archosaur paleontology
2023_in_archosaur_paleontology
al. (2025). Godinho et al. (2025) report limited effectiveness of machine learning models trained on data from collections of late modern individuals
2025_in_paleomammalogy
Influential 2012 deep convolutional neural network
neural networks were not better than other machine learning methods like kernel regression, support vector machines, AdaBoost, structured estimation, among
AlexNet
(link) Woolley, John T. and Peters, Gerhard, Eds. "Presidential Election Margin of Victory". The American Presidency Project (University of California)
False or misleading statements by Donald Trump (second term)
False_or_misleading_statements_by_Donald_Trump_(second_term)
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
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
Publisher and distributor of CD-ROM based personal computer software
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
Use of AI by the Israel Defense Forces in the Gaza war
and 200 targets within 10–12 days for the Gospel. The Gospel uses machine learning, where an AI is tasked with identifying commonalities in vast amounts
AI-assisted targeting in the Gaza Strip
AI-assisted_targeting_in_the_Gaza_Strip
Democratic candidate In line with polling, Lander easily defeated Goldman by a margin of over 30 percentage points. His victory was called by media outlets only
2026 United States House of Representatives elections in New York
2026_United_States_House_of_Representatives_elections_in_New_York
Statistical software package
nested error components 10.1 August 2008 11.0 July 2009 factor variables margins postestimation command multiple imputation 11.1 June 2010 11.2 March 2011
Stata
National Multi-Candidate". Real Clear Politics. "Harris Leads Trump by a Thin Margin in Zogby Strategies Concluding National Poll of Voters". John Zogby Strategies
Nationwide opinion polling for the 2024 United States presidential election
Nationwide_opinion_polling_for_the_2024_United_States_presidential_election
Health care of transgender individuals
transgender Mexicans have physical health problems due to living on the margins of society. The authors of the study recommended that the World Health
Transgender_health_care
Chinese artificial intelligence company
University. The company began stock trading using a GPU-dependent deep learning model on 21 October 2016; before then, it had used CPU-based linear models
DeepSeek
porn case dies in state custody Susan Sheehan, chronicler of lives on the margins, dies at 88 Bishop Rick Stika, former bishop of Knoxville, dies at 68 Scott
2026 deaths in the United States
2026_deaths_in_the_United_States
Boolean classifier from one decision
Boosting the Margin Can Also Boost Classifier Complexity" (PDF). ICML′06: Proceedings of the 23rd international conference on Machine Learning. pp. 753–760
Decision_stump
British businessman (1965–2024)
research at the University of Cambridge, Lynch applied his research in machine learning to set up software companies and become a major figure in Silicon Fen
Mike_Lynch_(businessman)
concession after learning how close the Florida count was. Bush led the election-night vote count in Florida by 1,784 votes. The small margin produced an automatic
2000 United States presidential election recount in Florida
2000_United_States_presidential_election_recount_in_Florida
Cryptographic primitives that involve lattices
NewHope is based on the ring learning with errors (RLWE) problem. NTRU Prime. Peikert's work, which is based on the ring learning with errors (RLWE) problem
Lattice-based_cryptography
conducted before the election indicated that González would win by a wide margin. After the government-controlled National Electoral Council (CNE) announced
Venezuela
MARGIN MACHINE-LEARNING
MARGIN MACHINE-LEARNING
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
Polish
Polish form of Roman Latin Martinus, MARCIN means "of/like Mars."
Male
French
 French form of Roman Latin Martinus, MARTIN means "of/like Mars." Compare with another form of Martin.
Male
English
Variant spelling of English Mervin, MARVIN means "marrow-eminent."Â
Male
English
 English form of Roman Latin Martinus, MARTIN means "of/like Mars." Compare with another form of Martin.
Female
English
Variant spelling of English Maureen, MAURINE means "obstinacy, rebelliousness" or "their rebellion."
Girl/Female
Bengali, Indian
Machine
Female
Native American
Native American Hopi name KACHINA means "sacred dancer; spirit."
Girl/Female
Australian, Japanese
Child of Machi
Female
German
German form of Scottish Malvina, MALWINE means "smooth-brow."
Male
French
French form of Roman Latin Marinus, MARIN means "of the sea."
Boy/Male
American, British, Danish, English
Blend of Daryl and Marvin
Boy/Male
American, Anglo, Australian, British, English, German, Swedish, Teutonic
Lover of the Sea; Form of Marvin; Sea Lover; Eminent; Great; Marrow
Female
French
Feminine form of French Marin, MARINE means "of the sea."
Female
English
Pet form of English Margaret, MARGIE means "pearl."
Female
Scottish
Feminine form of Scottish Lachlan, LACHINA means "lake-land."
Female
French
French feminine form of Latin Martinus, MARTINE means "of/like Mars."Â
Female
Hawaiian
Hawaiian name MAHINA means "moon; moonlight."
Male
French
French form of Latin Macarius, MACAIRE means "blessed."
Female
Hungarian
Hungarian and Scandinavian form of Greek Margarites, MARGIT means "pearl."
MARGIN MACHINE-LEARNING
MARGIN MACHINE-LEARNING
Girl/Female
Australian, Celtic, Christian, French, Latin
Dark Haired Elfin Girl; Form of Donna; Lady
Girl/Female
Tamil
River Sharayu
Boy/Male
Hebrew Indian
Strong.
Boy/Male
Indian, Punjabi, Sikh
Lamp of Peace and Bliss
Boy/Male
Arabic
Servant of the capable.
Boy/Male
Sikh
All-pervading light
Boy/Male
Muslim
Bazrugi wala
Girl/Female
Muslim
Name of a poetess
Boy/Male
Afghan, Arabic, Hindu, Indian, Marathi, Muslim, Urdu
Skilled; Expert
Boy/Male
Sikh
One who hears the celestial music
MARGIN MACHINE-LEARNING
MARGIN MACHINE-LEARNING
MARGIN MACHINE-LEARNING
MARGIN MACHINE-LEARNING
MARGIN MACHINE-LEARNING
imp. & p. p.
of Margin
n.
The working parts of a machine, engine, or instrument; as, the machinery of a watch.
v. t.
To subject to the action of machinery; to effect by aid of machinery; to print with a printing machine.
v. t.
To enter or note down upon the margin of a page; to margin.
a.
Written or printed in the margin; as, a marginal note or gloss.
n.
See Malkin, and Maukin.
a.
Of or pertaining to a margin.
v. t.
To enter in the margin of a page.
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.
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.
n.
One who or operates a machine; a machinist.
n.
A margin; border; brink; edge.
v. t.
To wind marline around; as, to marline a rope.
a.
A picture representing some marine subject.
a.
Having a margin.
a.
Formed by the action of the currents or waves of the sea; as, marine deposits.
n.
A border; edge; brink; verge; as, the margin of a river or lake.
imp. & p. p.
of Machine
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.