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787: 153: 782: 309:(JMLR), saying that in the era of the internet, it was detrimental for researchers to continue publishing their papers in expensive journals with pay-access archives. Instead, they wrote, they supported the model of 31: 875: 238: 123: 841: 811: 448: 213: 189: 209: 880: 834: 148: 449:
Thomas Dean and Dana Angluin and Kenneth Basye and Sean Engelson and Leslie Kaelbling and Evangelos Kokkevis and Oded Maron (1995).
885: 827: 177: 870: 754: 305: 860: 181: 270: 81: 815: 38: 681:
Will Bridewell and Pat Langley and Ljupco Todorovski and Saso Dzeroski (2008). "Inductive Process Modeling".
230: 136: 313:, in which authors retained copyright over their papers and archives were freely available on the internet. 680: 127: 865: 111: 805: 226: 132: 115: 254: 451:"Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning" 362: 731: 201: 320:
changed their publishing policy to allow authors to self-archive their papers online after
623: 8: 71: 289: 652: 363:"Learning Quickly When Irrelevant Attributes Abound: A New Linear-threshold Algorithm" 247: 797: 794: 703: 667: 637: 610: 583: 556: 529: 489: 462: 435: 408: 377: 347: 321: 43: 296: 144: 801: 708: 691: 689: 672: 642: 625: 615: 598: 588: 571: 561: 544: 534: 517: 494: 477: 854: 732:"Editorial Board of the Kluwer Journal, Machine Learning: Resignation Letter" 96: 85: 30: 503:
C. de la Higuera (1997). "Characteristic Sets for Grammatical Inference".
197: 286: 467: 450: 440: 423: 413: 397:"Explorations of an Incremental, Bayesian Algorithm for Categorization" 396: 382: 352: 335: 786: 394: 218: 624:
Ayhan Demiriz and Kristin P. Bennett and John Shawe-Taylor (2002).
542: 515: 650: 518:"Improved Boosting Algorithms Using Confidence-rated Predictions" 317: 77: 781: 569: 545:"BoosTexter: A Boosting-based System for Text Categorization" 162: 475: 653:"Mathematical Applications of Inductive Logic Programming" 690:
Stephen Muggleton and Alireza Tamaddoni-Nezhad (2008).
814:. Further suggestions might be found on the article's 812:
See tips for writing articles about academic journals
572:"Stochastic Finite Learning of the Pattern Languages" 424:"Children, Adults, and Machines as Discovery Systems" 626:"Linear Programming Boosting via Column Generation" 152: 876:Springer Science+Business Media academic journals 852: 502: 360: 835: 596: 395:John R. Anderson and Michael Matessa (1992). 755:"Machine Learning's Editorial Board Divided" 543:Robert E. Schapire and Yoram Singer (2000). 516:Robert E. Schapire and Yoram Singer (1999). 333: 651:Simon Colton and Stephen Muggleton (2006). 421: 842: 828: 295:In 2001, forty editors and members of the 707: 671: 641: 614: 587: 560: 533: 493: 466: 439: 412: 381: 351: 597:Parekh, Rajesh; Honavar, Vasant (2001). 692:"QG/GA: a stochastic search for Progol" 853: 570:P. Rossmanith and T. Zeugmann (2001). 881:Academic journals established in 1986 752: 476:Luc De Raedt and Luc Dehaspe (1997). 776: 327: 306:Journal of Machine Learning Research 599:"Learning DFA from Simple Examples" 13: 14: 897: 303:resigned in order to support the 785: 780: 316:Following the mass resignation, 151: 29: 753:Robin, Peek (1 December 2001). 886:Computer science journal stubs 746: 724: 1: 717: 336:"Induction of Decision Trees" 871:Delayed open access journals 804:. You can help Knowledge by 7: 10: 902: 775: 861:Computer science journals 709:10.1007/s10994-007-5029-3 673:10.1007/s10994-006-8259-x 361:Nick Littlestone (1988). 267: 262: 245: 173: 161: 107: 93: 70: 62: 57: 49: 37: 28: 292:, published since 1986. 643:10.1023/A:1012470815092 616:10.1023/A:1010822518073 589:10.1023/A:1010875913047 562:10.1023/A:1007649029923 535:10.1023/A:1007614523901 495:10.1023/A:1007361123060 108:Standard abbreviations 793:This article about a 334:J.R. Quinlan (1986). 422:David Klahr (1994). 478:"Clausal Discovery" 58:Publication details 25: 468:10.1007/BF00993822 441:10.1007/BF00993981 414:10.1007/BF00994109 383:10.1007/BF00116827 353:10.1007/BF00116251 290:scientific journal 19: 823: 822: 759:Information Today 328:Selected articles 278: 277: 893: 866:Machine learning 844: 837: 830: 795:computer science 789: 784: 777: 767: 766: 750: 744: 743: 728: 713: 711: 702:(2–3): 121–133. 696:Machine Learning 686: 683:Machine Learning 677: 675: 660:Machine Learning 657: 647: 645: 630:Machine Learning 620: 618: 603:Machine Learning 593: 591: 576:Machine Learning 566: 564: 555:(2/3): 135–168. 549:Machine Learning 539: 537: 522:Machine Learning 512: 505:Machine Learning 499: 497: 482:Machine Learning 472: 470: 455:Machine Learning 445: 443: 428:Machine Learning 418: 416: 401:Machine Learning 387: 385: 370:Machine Learning 367: 357: 355: 340:Machine Learning 301:Machine Learning 282:Machine Learning 271:Journal homepage 257: 250: 241: 157: 155: 154: 99: 44:Machine learning 33: 26: 23: 22:Machine Learning 18: 16:Academic journal 901: 900: 896: 895: 894: 892: 891: 890: 851: 850: 849: 848: 773: 771: 770: 751: 747: 730: 729: 725: 720: 655: 488:(2/3): 99–146. 365: 330: 297:editorial board 258: 253: 246: 217: 176: 175: 131: 110: 109: 100: 95: 89: 66:1986 to present 21: 17: 12: 11: 5: 899: 889: 888: 883: 878: 873: 868: 863: 847: 846: 839: 832: 824: 821: 820: 790: 769: 768: 745: 722: 721: 719: 716: 715: 714: 687: 678: 666:(1–3): 25–64. 648: 621: 594: 582:(1–2): 67–91. 567: 540: 528:(3): 297–336. 513: 500: 473: 446: 434:(3): 313–320. 419: 407:(4): 275–308. 392: 390: 388: 376:(4): 285–318. 358: 329: 326: 276: 275: 274: 273: 265: 264: 260: 259: 251: 243: 242: 171: 170: 165: 159: 158: 105: 104: 101: 94: 91: 90: 76: 74: 68: 67: 64: 60: 59: 55: 54: 51: 47: 46: 41: 35: 34: 15: 9: 6: 4: 3: 2: 898: 887: 884: 882: 879: 877: 874: 872: 869: 867: 864: 862: 859: 858: 856: 845: 840: 838: 833: 831: 826: 825: 819: 817: 813: 809: 807: 803: 799: 796: 791: 788: 783: 779: 778: 774: 764: 760: 756: 749: 741: 737: 733: 727: 723: 710: 705: 701: 697: 693: 688: 684: 679: 674: 669: 665: 661: 654: 649: 644: 639: 635: 631: 627: 622: 617: 612: 609:(1/2): 9–35. 608: 604: 600: 595: 590: 585: 581: 577: 573: 568: 563: 558: 554: 550: 546: 541: 536: 531: 527: 523: 519: 514: 510: 506: 501: 496: 491: 487: 483: 479: 474: 469: 464: 460: 456: 452: 447: 442: 437: 433: 429: 425: 420: 415: 410: 406: 402: 398: 393: 391: 389: 384: 379: 375: 371: 364: 359: 354: 349: 345: 341: 337: 332: 331: 325: 323: 319: 314: 312: 308: 307: 302: 298: 293: 291: 288: 287:peer-reviewed 284: 283: 272: 269: 268: 266: 261: 256: 252: 249: 244: 240: 236: 232: 228: 224: 220: 215: 211: 207: 203: 199: 195: 191: 187: 183: 179: 172: 169: 166: 164: 160: 150: 146: 142: 138: 134: 129: 125: 121: 117: 113: 106: 102: 98: 97:Impact factor 92: 87: 83: 79: 75: 73: 69: 65: 61: 56: 52: 48: 45: 42: 40: 36: 32: 27: 24: 810: 806:expanding it 792: 772: 762: 758: 748: 739: 735: 726: 699: 695: 682: 663: 659: 633: 629: 606: 602: 579: 575: 552: 548: 525: 521: 508: 504: 485: 481: 458: 454: 431: 427: 404: 400: 373: 369: 343: 339: 315: 310: 304: 300: 294: 281: 280: 279: 234: 222: 205: 193: 185: 168:Mach. Learn. 167: 140: 119: 103:2.809 (2018) 20: 736:SIGIR Forum 636:: 225–254. 322:peer-review 855:Categories 742:(2). 2001. 718:References 461:: 81–108. 346:: 81–106. 145:MathSciNet 39:Discipline 816:talk page 255:1573-0565 72:Publisher 174:Indexing 124:Bluebook 82:Springer 50:Language 798:journal 511:: 1–14. 233:)  204:)  192:)  139:)  118:)  84: ( 63:History 53:English 318:Kluwer 239:Scopus 235:· 223:· 221:  206:· 194:· 186:· 184:  141:· 120:· 78:Kluwer 800:is a 765:(11). 656:(PDF) 366:(PDF) 285:is a 263:Links 237: 225: 208: 198:JSTOR 196: 188: 178:CODEN 163:ISO 4 143: 122: 112:ISO 4 802:stub 311:JMLR 248:ISSN 219:MIAR 210:LCCN 190:alt2 704:doi 668:doi 638:doi 611:doi 584:doi 557:doi 530:doi 490:doi 463:doi 436:doi 409:doi 378:doi 348:doi 299:of 231:alt 227:NLM 214:alt 202:alt 182:alt 149:alt 137:alt 133:NLM 128:alt 116:alt 86:USA 857:: 763:18 761:. 757:. 740:35 738:. 734:. 700:70 698:. 694:. 664:64 662:. 658:. 634:46 632:. 628:. 607:44 605:. 601:. 580:44 578:. 574:. 553:39 551:. 547:. 526:37 524:. 520:. 509:27 507:. 486:26 484:. 480:. 459:18 457:. 453:. 432:14 430:. 426:. 403:. 399:. 372:. 368:. 342:. 338:. 324:. 843:e 836:t 829:v 818:. 808:. 712:. 706:: 685:. 676:. 670:: 646:. 640:: 619:. 613:: 592:. 586:: 565:. 559:: 538:. 532:: 498:. 492:: 471:. 465:: 444:. 438:: 417:. 411:: 405:9 386:. 380:: 374:2 356:. 350:: 344:1 229:( 216:) 212:( 200:( 180:( 156:) 147:( 135:( 130:) 126:( 114:( 88:) 80:/

Index


Discipline
Machine learning
Publisher
Kluwer
Springer
USA
Impact factor
ISO 4
alt
Bluebook
alt
NLM
alt
MathSciNet
alt
ISO 4
CODEN
alt
alt2
JSTOR
alt
LCCN
alt
MIAR
NLM
alt
Scopus
ISSN
1573-0565

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