Case-Based Reasoning Research and Development: Second International Conference on Case-Based Reasoning, ICCBR-97 Providence, RI, USA, July 25-27, 1997 ProceedingsSpringer Science & Business Media, 1997. gada 9. jūl. - 648 lappuses This book constitutes the refereed proceedings of the Second International Conference on Case-Based Reasoning, ICCBR-97, held in Providence, RI, USA, in July 1997. The volume presents 39 revised full scientific papers selected from a total of 102 submissions; also included are 20 revised application papers. Among the topics covered are representation and formalization, indexing and retrieval, adaptation, learning, integrated approaches, creative reasoning, CBR and uncertainty. This collection of papers is a comprehensive documentation of the state of the art in CBR research and development. |
Saturs
I | 1 |
II | 13 |
III | 23 |
IV | 33 |
V | 43 |
VI | 53 |
VII | 63 |
VIII | 74 |
XXXII | 337 |
XXXIII | 349 |
XXXIV | 359 |
XXXV | 371 |
XXXVI | 383 |
XXXVII | 393 |
XXXVIII | 403 |
XXXIX | 413 |
IX | 84 |
X | 94 |
XI | 104 |
XII | 114 |
XIII | 122 |
XIV | 132 |
XV | 144 |
XVI | 156 |
XVII | 166 |
XVIII | 178 |
XIX | 190 |
XX | 200 |
XXI | 211 |
XXII | 223 |
XXIII | 235 |
XXIV | 245 |
XXV | 255 |
XXVI | 267 |
XXVII | 279 |
XXVIII | 291 |
XXIX | 303 |
XXX | 315 |
XXXI | 325 |
XL | 425 |
XLI | 435 |
XLII | 445 |
XLIII | 455 |
XLIV | 467 |
XLV | 477 |
XLVI | 489 |
XLVII | 499 |
XLVIII | 509 |
XLIX | 519 |
L | 531 |
LI | 541 |
LII | 553 |
LIII | 565 |
LIV | 575 |
LV | 587 |
LVI | 599 |
LVII | 611 |
LVIII | 623 |
LIX | 633 |
LX | 643 |
LXI | 647 |
Bieži izmantoti vārdi un frāzes
AAAI abstraction accuracy adaptation rules analysis applied approach Artificial Intelligence attributes based reasoning Bayesian networks case-based planning Case-Based Reasoning CBR system classification co-domain color complex components Computer constraints context cost d-NNh database decision defined described description logic documents domain knowledge domain theory estimate evaluation example experience Expert Systems failure feature weights Figure function fuzzy goal heuristic hierarchy implemented indexing induction Inference initial input instance-based learning integration interface k-NN Kolodner lazy learning learning algorithms Machine Learning match memory method nodes operator paper performance prediction problem solving Proceedings query questions reinforcement learning relations relevant replay representation represented retrieval reuse rule induction selected serializable shows sigmoid function similarity measure similarity metric situation solution specific step strategy structure task techniques types values variables Veloso
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