forked from rasbt/python-machine-learning-book
-
Notifications
You must be signed in to change notification settings - Fork 0
/
pymle.bib
682 lines (593 loc) · 21.5 KB
/
pymle.bib
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
@inproceedings{ding2015yinyang,
Author = {Ding, Yufei and Zhao, Yue and Shen, Xipeng and Musuvathi, Madanlal and Mytkowicz, Todd},
Booktitle = {Proceedings of the 32nd International Conference on Machine Learning (ICML-15)},
Pages = {579--587},
Title = {Yinyang k-means: A drop-in replacement of the classic k-means with consistent speedup},
Year = {2015}}
@article{kanaris2007words,
Author = {Kanaris, Ioannis and Kanaris, Konstantinos and Houvardas, Ioannis and Stamatatos, Efstathios},
Journal = {International Journal on Artificial Intelligence Tools},
Number = {06},
Pages = {1047--1067},
Title = {Words versus character n-grams for anti-spam filtering},
Volume = {16},
Year = {2007}}
@inproceedings{louppe2013understanding,
Author = {Louppe, Gilles and Wehenkel, Louis and Sutera, Antonio and Geurts, Pierre},
Booktitle = {Advances in Neural Information Processing Systems},
Pages = {431--439},
Title = {Understanding variable importances in forests of randomized trees},
Year = {2013}}
@article{louppe2014understanding,
Author = {Louppe, Gilles},
Journal = {arXiv preprint arXiv:1407.7502},
Title = {Understanding Random Forests: From Theory to Practice},
Year = {2014}}
@article{unterthiner2015toxicity,
Author = {Unterthiner, Thomas and Mayr, Andreas and Klambauer, G{\"u}nter and Hochreiter, Sepp},
Journal = {arXiv preprint arXiv:1503.01445},
Title = {Toxicity Prediction using Deep Learning},
Year = {2015}}
@inproceedings{bergstra2010theano,
Author = {Bergstra, James and Breuleux, Olivier and Bastien, Fr{\'e}d{\'e}ric and Lamblin, Pascal and Pascanu, Razvan and Desjardins, Guillaume and Turian, Joseph and Warde-Farley, David and Bengio, Yoshua},
Booktitle = {Proc. 9th Python in Science Conf},
Pages = {1--7},
Title = {Theano: A CPU and GPU math compiler in Python},
Year = {2010}}
@article{rao1948utilization,
Author = {Rao, C Radhakrishna},
Journal = {Journal of the Royal Statistical Society. Series B (Methodological)},
Number = {2},
Pages = {159--203},
Title = {The utilization of multiple measurements in problems of biological classification},
Volume = {10},
Year = {1948}}
@article{fisher1936use,
Author = {Fisher, Ronald A},
Journal = {Annals of eugenics},
Number = {2},
Pages = {179--188},
Title = {The use of multiple measurements in taxonomic problems},
Volume = {7},
Year = {1936}}
@incollection{wolpert2002supervised,
Author = {Wolpert, David H},
Booktitle = {Soft Computing and Industry},
Pages = {25--42},
Publisher = {Springer},
Title = {The supervised learning no-free-lunch theorems},
Year = {2002}}
@article{schapire1990strength,
Author = {Schapire, Robert E},
Journal = {Machine learning},
Number = {2},
Pages = {197--227},
Title = {The strength of weak learnability},
Volume = {5},
Year = {1990}}
@inproceedings{davis2006relationship,
Author = {Davis, Jesse and Goadrich, Mark},
Booktitle = {Proceedings of the 23rd international conference on Machine learning},
Organization = {ACM},
Pages = {233--240},
Title = {The relationship between Precision-Recall and ROC curves},
Year = {2006}}
@book{rosenblatt1957perceptron,
Author = {Rosenblatt, Frank},
Publisher = {Cornell Aeronautical Laboratory},
Title = {The perceptron, a perceiving and recognizing automaton Project Para},
Year = {1957}}
@book{vapnik2013nature,
Author = {Vapnik, Vladimir},
Publisher = {Springer Science \& Business Media},
Title = {The nature of statistical learning theory},
Year = {2013}}
@article{hanley1982meaning,
Author = {Hanley, James A and McNeil, Barbara J},
Journal = {Radiology},
Number = {1},
Pages = {29--36},
Title = {The meaning and use of the area under a receiver operating characteristic (ROC) curve.},
Volume = {143},
Year = {1982}}
@incollection{rasson1994gap,
Author = {Rasson, Jean-Paul and Kubushishi, Tite},
Booktitle = {New approaches in classification and data analysis},
Pages = {186--193},
Publisher = {Springer},
Title = {The gap test: an optimal method for determining the number of natural classes in cluster analysis},
Year = {1994}}
@book{hastie2009elements,
Author = {Hastie, Trevor and Tibshirani, Robert and Friedman, Jerome and Hastie, T and Friedman, J and Tibshirani, R},
Number = {1},
Publisher = {Springer},
Title = {The Elements of Statistical Learning},
Volume = {2},
Year = {2009}}
@article{toscher2009bigchaos,
Author = {T{\"o}scher, Andreas and Jahrer, Michael and Bell, Robert M},
Journal = {Netflix prize documentation},
Title = {The bigchaos solution to the netflix grand prize},
Year = {2009}}
@article{gunn1998support,
Author = {Gunn, Steve R and others},
Journal = {ISIS technical report},
Title = {Support vector machines for classification and regression},
Volume = {14},
Year = {1998}}
@article{friedman2002stochastic,
Author = {Friedman, Jerome H},
Journal = {Computational Statistics \& Data Analysis},
Number = {4},
Pages = {367--378},
Title = {Stochastic gradient boosting},
Volume = {38},
Year = {2002}}
@article{wolpert1992stacked,
Author = {Wolpert, David H},
Journal = {Neural networks},
Number = {2},
Pages = {241--259},
Title = {Stacked generalization},
Volume = {5},
Year = {1992}}
@misc{porter2001snowball,
Author = {Porter, Martin F},
Title = {Snowball: A language for stemming algorithms},
Year = {2001}}
@article{rousseeuw1987silhouettes,
Author = {Rousseeuw, Peter J},
Journal = {Journal of computational and applied mathematics},
Pages = {53--65},
Title = {Silhouettes: a graphical aid to the interpretation and validation of cluster analysis},
Volume = {20},
Year = {1987}}
@article{meer1991robust,
Author = {Meer, Peter and Mintz, Doron and Rosenfeld, Azriel and Kim, Dong Yoon},
Journal = {International journal of computer vision},
Number = {1},
Pages = {59--70},
Title = {Robust regression methods for computer vision: A review},
Volume = {6},
Year = {1991}}
@article{hoerl1970ridge,
Author = {Hoerl, Arthur E and Kennard, Robert W},
Journal = {Technometrics},
Number = {1},
Pages = {55--67},
Title = {Ridge regression: Biased estimation for nonorthogonal problems},
Volume = {12},
Year = {1970}}
@article{galton1886regression,
Author = {Galton, Francis},
Journal = {Journal of the Anthropological Institute of Great Britain and Ireland},
Pages = {246--263},
Title = {Regression towards mediocrity in hereditary stature.},
Year = {1886}}
@article{tibshirani1996regression,
Author = {Tibshirani, Robert},
Journal = {Journal of the Royal Statistical Society. Series B (Methodological)},
Pages = {267--288},
Title = {Regression shrinkage and selection via the lasso},
Year = {1996}}
@article{bergstra2012random,
Author = {Bergstra, James and Bengio, Yoshua},
Journal = {The Journal of Machine Learning Research},
Number = {1},
Pages = {281--305},
Title = {Random search for hyper-parameter optimization},
Volume = {13},
Year = {2012}}
@article{breiman2001random,
Author = {Breiman, Leo},
Journal = {Machine learning},
Number = {1},
Pages = {5--32},
Title = {Random forests},
Volume = {45},
Year = {2001}}
@book{jolliffe2002principal,
Author = {Jolliffe, Ian},
Publisher = {Wiley Online Library},
Title = {Principal component analysis},
Year = {2002}}
@book{bezdek2013pattern,
Author = {Bezdek, James C},
Publisher = {Springer Science \& Business Media},
Title = {Pattern recognition with fuzzy objective function algorithms},
Year = {2013}}
@article{duda2001pattern,
Author = {Duda, Richard O and Hart, Peter E and Stork, David G},
Journal = {Edition. New York},
Title = {Pattern classification. 2nd},
Year = {2001}}
@article{bengio2004no,
Author = {Bengio, Yoshua and Grandvalet, Yves},
Journal = {The Journal of Machine Learning Research},
Pages = {1089--1105},
Title = {No unbiased estimator of the variance of k-fold cross-validation},
Volume = {5},
Year = {2004}}
@article{wolpert1997no,
Author = {Wolpert, David H and Macready, William G},
Journal = {Evolutionary Computation, IEEE Transactions on},
Number = {1},
Pages = {67--82},
Title = {No free lunch theorems for optimization},
Volume = {1},
Year = {1997}}
@book{bishop1995neural,
Author = {Bishop, Christopher M},
Publisher = {Oxford university press},
Title = {Neural networks for pattern recognition},
Year = {1995}}
@book{bird2009natural,
Author = {Bird, Steven and Klein, Ewan and Loper, Edward},
Publisher = {" O'Reilly Media, Inc."},
Title = {Natural language processing with Python},
Year = {2009}}
@article{DBLP:journals/corr/Raschka14,
Author = {Sebastian Raschka},
Journal = {Computing Research Repository (CoRR)},
Title = {Naive Bayes and Text Classification {I} - Introduction and Theory},
Volume = {abs/1410.5329},
Year = {2014}}
@misc{appleby2011murmurhash3,
Author = {Appleby, Austin},
Title = {murmurhash3},
Year = {2011}}
@article{paice1996method,
Author = {Paice, Chris D},
Journal = {Journal of the American Society for Information Science},
Number = {8},
Pages = {632--649},
Title = {Method for evaluation of stemming algorithms based on error counting},
Volume = {47},
Year = {1996}}
@article{hochreiter1997long,
Author = {Hochreiter, Sepp and Schmidhuber, J{\"u}rgen},
Journal = {Neural computation},
Number = {8},
Pages = {1735--1780},
Title = {Long short-term memory},
Volume = {9},
Year = {1997}}
@book{menard2009logistic,
Author = {Menard, Scott},
Publisher = {Sage Publications},
Title = {Logistic regression: From introductory to advanced concepts and applications},
Year = {2009}}
@booklet{kolter2008linear,
Author = {Kolter, Zico},
Title = {Linear Algebra Review and Reference},
Year = {2008}}
@inproceedings{maas-EtAl:2011:ACL-HLT2011,
Address = {Portland, Oregon, USA},
Author = {Maas, Andrew L. and Daly, Raymond E. and Pham, Peter T. and Huang, Dan and Ng, Andrew Y. and Potts, Christopher},
Booktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies},
Month = {June},
Pages = {142--150},
Publisher = {Association for Computational Linguistics},
Title = {Learning Word Vectors for Sentiment Analysis},
Year = {2011}}
@article{williams1986learning,
Author = {Williams, DE Rumelhart GE Hinton RJ and Hinton, GE},
Journal = {Nature},
Pages = {323--533},
Title = {Learning representations by back-propagating errors},
Year = {1986}}
@article{bengio2009learning,
Author = {Bengio, Yoshua},
Journal = {Foundations and trends{\textregistered} in Machine Learning},
Number = {1},
Pages = {1--127},
Title = {Learning deep architectures for AI},
Volume = {2},
Year = {2009}}
@article{park2007l1,
Author = {Park, Mee Young and Hastie, Trevor},
Journal = {Journal of the Royal Statistical Society: Series B (Statistical Methodology)},
Number = {4},
Pages = {659--677},
Title = {L1-regularization path algorithm for generalized linear models},
Volume = {69},
Year = {2007}}
@article{cunningham2007k,
Author = {Cunningham, Padraig and Delany, Sarah Jane},
Journal = {Multiple Classifier Systems},
Pages = {1--17},
Title = {k-Nearest neighbour classifiers},
Year = {2007}}
@inproceedings{arthur2007k,
Author = {Arthur, David and Vassilvitskii, Sergei},
Booktitle = {Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms},
Organization = {Society for Industrial and Applied Mathematics},
Pages = {1027--1035},
Title = {k-means++: The advantages of careful seeding},
Year = {2007}}
@inproceedings{ding2004k,
Author = {Ding, Chris and He, Xiaofeng},
Booktitle = {Proceedings of the twenty-first international conference on Machine learning},
Organization = {ACM},
Pages = {29},
Title = {K-means clustering via principal component analysis},
Year = {2004}}
@article{scholkopf1997kernel,
Author = {Sch{\"o}lkopf, Bernhard and Smola, Alexander and M{\"u}ller, Klaus-Robert},
Pages = {583--588},
Title = {Kernel principal component analysis},
Year = {1997}}
@book{shawe2004kernel,
Author = {Shawe-Taylor, John and Cristianini, Nello},
Publisher = {Cambridge university press},
Title = {Kernel methods for pattern analysis},
Year = {2004}}
@article{ting1999issues,
Author = {Ting, Kai Ming and Witten, Ian H},
Journal = {J. Artif. Intell. Res.(JAIR)},
Pages = {271--289},
Title = {Issues in stacked generalization},
Volume = {10},
Year = {1999}}
@article{khuri2013introduction,
Author = {Khuri, Andr{\'e} I},
Journal = {International Statistical Review},
Number = {2},
Pages = {318--319},
Title = {Introduction to Linear Regression Analysis, by Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining},
Volume = {81},
Year = {2013}}
@article{toman2006influence,
Author = {Toman, Michal and Tesar, Roman and Jezek, Karel},
Journal = {Proceedings of InSciT},
Pages = {354--358},
Title = {Influence of word normalization on text classification},
Year = {2006}}
@article{efron1997improvements,
Author = {Efron, Bradley and Tibshirani, Robert},
Journal = {Journal of the American Statistical Association},
Number = {438},
Pages = {548--560},
Title = {Improvements on cross-validation: the 632+ bootstrap method},
Volume = {92},
Year = {1997}}
@article{johnson1967hierarchical,
Author = {Johnson, Stephen C},
Journal = {Psychometrika},
Number = {3},
Pages = {241--254},
Title = {Hierarchical clustering schemes},
Volume = {32},
Year = {1967}}
@article{lecun1998gradient,
Author = {LeCun, Yann and Bottou, L{\'e}on and Bengio, Yoshua and Haffner, Patrick},
Journal = {Proceedings of the IEEE},
Number = {11},
Pages = {2278--2324},
Title = {Gradient-based learning applied to document recognition},
Volume = {86},
Year = {1998}}
@inproceedings{ng2004feature,
Author = {Ng, Andrew Y},
Booktitle = {Proceedings of the twenty-first international conference on Machine learning},
Organization = {ACM},
Pages = {78},
Title = {Feature selection, L 1 vs. L 2 regularization, and rotational invariance},
Year = {2004}}
@article{huang1998extensions,
Author = {Huang, Zhexue},
Journal = {Data mining and knowledge discovery},
Number = {3},
Pages = {283--304},
Title = {Extensions to the k-means algorithm for clustering large data sets with categorical values},
Volume = {2},
Year = {1998}}
@article{tukey1977exploratory,
Author = {Tukey, John W},
Title = {Exploratory data analysis},
Year = {1977}}
@inproceedings{freund1996experiments,
Author = {Freund, Yoav and Schapire, Robert E and others},
Booktitle = {ICML},
Pages = {148--156},
Title = {Experiments with a new boosting algorithm},
Volume = {96},
Year = {1996}}
@article{mikolov2013efficient,
Author = {Mikolov, Tomas and Chen, Kai and Corrado, Greg and Dean, Jeffrey},
Journal = {arXiv preprint arXiv:1301.3781},
Title = {Efficient estimation of word representations in vector space},
Year = {2013}}
@article{hannun2014deepspeech,
Author = {Hannun, Awni and Case, Carl and Casper, Jared and Catanzaro, Bryan and Diamos, Greg and Elsen, Erich and Prenger, Ryan and Satheesh, Sanjeev and Sengupta, Shubho and Coates, Adam and others},
Journal = {arXiv preprint arXiv:1412.5567},
Title = {DeepSpeech: Scaling up end-to-end speech recognition},
Year = {2014}}
@inproceedings{taigman2014deepface,
Author = {Taigman, Yaniv and Yang, Ming and Ranzato, Marc'Aurelio and Wolf, Lars},
Booktitle = {Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on},
Organization = {IEEE},
Pages = {1701--1708},
Title = {Deepface: Closing the gap to human-level performance in face verification},
Year = {2014}}
@article{ferri1994comparative,
Author = {Ferri, F and Pudil, P and Hatef, M and Kittler, J},
Journal = {Pattern Recognition in Practice IV},
Pages = {403--413},
Title = {Comparative study of techniques for large-scale feature selection},
Year = {1994}}
@article{ghosh2013comparative,
Author = {Ghosh, Soumi and Dubey, Sanjay Kumar},
Journal = {IJACSA},
Pages = {35--38},
Title = {Comparative analysis of k-means and fuzzy c-means algorithms},
Volume = {4},
Year = {2013}}
@article{breiman1984classification,
Author = {Breiman, Leo and Friedman, Jerome H and Olshen, Richard A and Stone, Charles J},
Journal = {Belmont, CA},
Title = {Classification and regression trees. Wadsworth},
Year = {1984}}
@article{liaw2002classification,
Author = {Liaw, Andy and Wiener, Matthew},
Journal = {R news},
Number = {3},
Pages = {18--22},
Title = {Classification and regression by randomForest},
Volume = {2},
Year = {2002}}
@article{breiman1996bias,
Author = {Breiman, Leo},
Title = {Bias, variance, and arcing classifiers},
Year = {1996}}
@article{strobl2007bias,
Author = {Strobl, Carolin and Boulesteix, Anne-Laure and Zeileis, Achim and Hothorn, Torsten},
Journal = {BMC bioinformatics},
Number = {1},
Pages = {25},
Title = {Bias in random forest variable importance measures: Illustrations, sources and a solution},
Volume = {8},
Year = {2007}}
@article{varma2006bias,
Author = {Varma, Sudhir and Simon, Richard},
Journal = {BMC bioinformatics},
Number = {1},
Pages = {91},
Title = {Bias in error estimation when using cross-validation for model selection},
Volume = {7},
Year = {2006}}
@inproceedings{simard2003best,
Author = {Simard, Patrice Y and Steinkraus, Dave and Platt, John C},
Booktitle = {null},
Organization = {IEEE},
Pages = {958},
Title = {Best practices for convolutional neural networks applied to visual document analysis},
Year = {2003}}
@article{breiman1996bagging,
Author = {Breiman, Leo},
Journal = {Machine learning},
Number = {2},
Pages = {123--140},
Title = {Bagging predictors},
Volume = {24},
Year = {1996}}
@incollection{toldo2009automatic,
Author = {Toldo, Roberto and Fusiello, Andrea},
Booktitle = {Image Analysis and Processing--ICIAP 2009},
Pages = {123--131},
Publisher = {Springer},
Title = {Automatic estimation of the inlier threshold in robust multiple structures fitting},
Year = {2009}}
@article{baydin2014automatic,
Author = {Baydin, Atilim Gunes and Pearlmutter, Barak A},
Journal = {arXiv preprint arXiv:1404.7456},
Title = {Automatic Differentiation of Algorithms for Machine Learning},
Year = {2014}}
@article{markatou2005analysis,
Author = {Markatou, Marianthi and Tian, Hong and Biswas, Shameek and Hripcsak, George M},
Journal = {Journal of Machine Learning Research},
Pages = {1127--1168},
Title = {Analysis of variance of cross-validation estimators of the generalization error},
Volume = {6},
Year = {2005}}
@article{DBLP:journals/corr/Raschka14a,
Author = {Sebastian Raschka},
Journal = {Computing Research Repository (CoRR)},
Title = {An Overview of General Performance Metrics of Binary Classifier Systems},
Volume = {abs/1410.5330},
Year = {2014}}
@article{aizawa2003information,
Author = {Aizawa, Akiko},
Journal = {Information Processing \& Management},
Number = {1},
Pages = {45--65},
Title = {An information-theoretic perspective of tf--idf measures},
Volume = {39},
Year = {2003}}
@inproceedings{ratsch1998improvement,
Author = {R{\"a}tsch, Gunnar and Onoda, Takashi and M{\"u}ller, Klaus Robert},
Booktitle = {Proc. of the Int. Conf. on Neural Information Processing},
Organization = {Citeseer},
Title = {An improvement of adaboost to avoid overfitting},
Year = {1998}}
@article{porter1980algorithm,
Author = {Porter, Martin F},
Journal = {Program: electronic library and information systems},
Number = {3},
Pages = {130--137},
Title = {An algorithm for suffix stripping},
Volume = {14},
Year = {1980}}
@article{friedman1977algorithm,
Author = {Friedman, Jerome H and Bentley, Jon Louis and Finkel, Raphael Ari},
Journal = {ACM Transactions on Mathematical Software (TOMS)},
Number = {3},
Pages = {209--226},
Title = {An algorithm for finding best matches in logarithmic expected time},
Volume = {3},
Year = {1977}}
@book{stanford1960adaptive,
Address = {Stanford, CA},
Author = {Widrow, B.},
Month = {October},
Number = {Technical Report 1553-2},
Publisher = {Stanford Electron. Labs.},
Title = {Adaptive "Adaline" neuron using chemical "memistors"},
Year = {1960}}
@article{burges1998tutorial,
Author = {Burges, Christopher JC},
Journal = {Data mining and knowledge discovery},
Number = {2},
Pages = {121--167},
Title = {A tutorial on support vector machines for pattern recognition},
Volume = {2},
Year = {1998}}
@inproceedings{kohavi1995study,
Author = {Kohavi, Ron and others},
Booktitle = {Ijcai},
Number = {2},
Pages = {1137--1145},
Title = {A study of cross-validation and bootstrap for accuracy estimation and model selection},
Volume = {14},
Year = {1995}}
@article{nagelkerke1991note,
Author = {Nagelkerke, Nico JD},
Journal = {Biometrika},
Number = {3},
Pages = {691--692},
Title = {A note on a general definition of the coefficient of determination},
Volume = {78},
Year = {1991}}
@article{mcculloch1943logical,
Author = {McCulloch, Warren S and Pitts, Walter},
Journal = {The bulletin of mathematical biophysics},
Number = {4},
Pages = {115--133},
Title = {A logical calculus of the ideas immanent in nervous activity},
Volume = {5},
Year = {1943}}
@article{dunn1973fuzzy,
Author = {Dunn, Joseph C},
Title = {A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters},
Year = {1973}}
@inproceedings{ester1996density,
Author = {Ester, Martin and Kriegel, Hans-Peter and Sander, J{\"o}rg and Xu, Xiaowei},
Booktitle = {Kdd},
Number = {34},
Pages = {226--231},
Title = {A density-based algorithm for discovering clusters in large spatial databases with noise.},
Volume = {96},
Year = {1996}}
@article{lawrence1989concordance,
Author = {Lawrence, I and Lin, Kuei},
Journal = {Biometrics},
Pages = {255--268},
Title = {A concordance correlation coefficient to evaluate reproducibility},
Year = {1989}}
@incollection{aha1996comparative,
Author = {Aha, David W and Bankert, Richard L},
Booktitle = {Learning from Data},
Pages = {199--206},
Publisher = {Springer},
Title = {A comparative evaluation of sequential feature selection algorithms},
Year = {1996}}