Learning Theory: 19th Annual Conference on Learning Theory, COLT 2006, Pittsburgh, PA, USA, June 22-25, 2006, Proceedings

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Springer Science & Business Media, Jun 12, 2006 - Computers - 656 pages
This book constitutes the refereed proceedings of the 19th Annual Conference on Learning Theory, COLT 2006, held in Pittsburgh, Pennsylvania, USA in June 2006. The 43 revised full papers presented together with 2 articles on open problems and 3 invited lectures were carefully reviewed and selected from a total of 102 submissions. The papers cover a wide range of topics including clustering, un- and semisupervised learning, statistical learning theory, regularized learning and kernel methods, query learning and teaching, inductive inference, learning algorithms and limitations on learning, online aggregation, online prediction and reinforcement learning.
 

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Contents

I
1
II
2
III
4
IV
5
V
20
VI
35
VII
50
VIII
65
XXVI
335
XXVII
350
XXVIII
364
XXIX
379
XXX
392
XXXI
408
XXXII
423
XXXIII
438

IX
79
X
94
XI
109
XII
123
XIII
139
XIV
154
XV
169
XVI
184
XVII
199
XVIII
214
XIX
229
XX
244
XXI
259
XXII
274
XXIII
289
XXIV
304
XXV
319
XXXIV
453
XXXV
468
XXXVI
483
XXXVII
499
XXXVIII
514
XXXIX
529
XL
544
XLI
559
XLII
574
XLIII
589
XLIV
605
XLV
620
XLVI
635
XLVII
650
XLVIII
653
XLIX
655
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