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Category:Machine learning algorithms

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Repeated incremental pruning to produce error reduction (RIPPER)
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The following 84 pages are in this category, out of 84 total.
548: 86: 489: 123: 36:This category has only the following subcategory. 652: 69:Pages in category "Machine learning algorithms" 630:Weighted majority algorithm (machine learning) 470:Prefrontal cortex basal ganglia working memory 608:T-distributed stochastic neighbor embedding 507:Quadratic unconstrained binary optimization 274:Genetic Algorithm for Rule Set Production 102:Almeida–Pineda recurrent backpropagation 74:This list may not reflect recent changes 653: 534:Randomized weighted majority algorithm 399:Minimum redundancy feature selection 220:Evolutionary multimodal optimization 31: 335:Kernel principal component analysis 13: 225:Expectation–maximization algorithm 193:Dominance-based rough set approach 78: 38: 30: 14: 677: 431:Non-negative matrix factorization 382:Loss functions for classification 581:State–action–reward–state–action 330:Kernel methods for vector output 188:Distributional Soft Actor Critic 475:Prescription monitoring program 1: 591:Stochastic variance reduction 529:Radial basis function network 325:K-nearest neighbors algorithm 247:Federated Learning of Cohorts 485:Proximal policy optimization 409:Multi expression programming 296:Hyper basis function network 67: 7: 586:Stochastic gradient descent 554:Rule-based machine learning 347:Label propagation algorithm 284:Growing self-organizing map 168:Deep reinforcement learning 10: 682: 539:Recursive self-improvement 252:Forward–backward algorithm 230:Extremal Ensemble Learning 210:Elastic net regularization 15: 362:Linde–Buzo–Gray algorithm 92:Accumulated local effects 22:Classification algorithms 414:Multiple kernel learning 151:Constructing skill trees 97:Algorithms of Oppression 16:See also the categories 448:Online machine learning 372:Logic learning machine 279:Graphical time warping 173:Dehaene–Changeux model 141:Characteristic samples 453:Open Syllabus Project 426:Neural radiance field 215:Error-driven learning 129:Bootstrap aggregating 625:Wake-sleep algorithm 367:Local outlier factor 313:Incremental learning 198:Dynamic time warping 512:Query-level feature 156:Curriculum learning 107:Augmented Analytics 642:Zero-shot learning 404:Mixture of experts 394:Manifold alignment 352:Lasso (statistics) 264:Gaussian splatting 53:Genetic algorithms 480:Prototype methods 673: 661:Machine learning 458:Out-of-bag error 58: 51: 681: 680: 676: 675: 674: 672: 671: 670: 651: 650: 649: 648: 647: 646: 634: 617: 600: 558: 521: 494: 462: 440: 418: 386: 339: 317: 300: 288: 256: 234: 202: 183:Diffusion model 160: 133: 119:Backpropagation 111: 66: 65: 64: 63: 60: 59: 48: 29: 28: 12: 11: 5: 679: 669: 668: 663: 645: 644: 638: 635: 633: 632: 627: 621: 618: 616: 615: 610: 604: 601: 599: 598: 596:Structured kNN 593: 588: 583: 578: 573: 571:Skill chaining 568: 562: 559: 557: 556: 551: 546: 541: 536: 531: 525: 522: 520: 519: 514: 509: 504: 498: 495: 493: 492: 487: 482: 477: 472: 466: 463: 461: 460: 455: 450: 444: 441: 439: 438: 433: 428: 422: 419: 417: 416: 411: 406: 401: 396: 390: 387: 385: 384: 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Index

Data mining
Classification algorithms
Decision trees

Genetic algorithms
This list may not reflect recent changes
Abess
Accumulated local effects
Algorithms of Oppression
Almeida–Pineda recurrent backpropagation
Augmented Analytics
Backpropagation
Bioz
Bootstrap aggregating
Characteristic samples
CN2 algorithm
Constructing skill trees
Curriculum learning
Deep reinforcement learning
Dehaene–Changeux model
Diffusion map
Diffusion model
Distributional Soft Actor Critic
Dominance-based rough set approach
Dynamic time warping
Elastic net regularization
Error-driven learning
Evolutionary multimodal optimization
Expectation–maximization algorithm
Extremal Ensemble Learning

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