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Table of contents of journal: *Machine learning

Results: 1-25/267
PREQUENTIAL AND CROSS-VALIDATED REGRESSION ESTIMATION
Authors: MODHA DS MASRY E
Citation: Ds. Modha et E. Masry, PREQUENTIAL AND CROSS-VALIDATED REGRESSION ESTIMATION, Machine learning, 33(1), 1998, pp. 5-39
BAYESIAN LANDMARK LEARNING FOR MOBILE ROBOT LOCALIZATION
Authors: THRUN S
Citation: S. Thrun, BAYESIAN LANDMARK LEARNING FOR MOBILE ROBOT LOCALIZATION, Machine learning, 33(1), 1998, pp. 41-76
CHOICE OF BASIS FOR LAPLACE APPROXIMATION
Authors: MACKAY DJC
Citation: Djc. Mackay, CHOICE OF BASIS FOR LAPLACE APPROXIMATION, Machine learning, 33(1), 1998, pp. 77-86
SELF-DIRECTED LEARNING AND ITS RELATION TO THE VC-DIMENSION AND TO TEACHER-DIRECTED LEARNING
Authors: BENDAVID S EIRON N
Citation: S. Bendavid et N. Eiron, SELF-DIRECTED LEARNING AND ITS RELATION TO THE VC-DIMENSION AND TO TEACHER-DIRECTED LEARNING, Machine learning, 33(1), 1998, pp. 87-104
FAST ONLINE Q(LAMBDA)
Authors: WIERLING M SCHMIDHUBER J
Citation: M. Wierling et J. Schmidhuber, FAST ONLINE Q(LAMBDA), Machine learning, 33(1), 1998, pp. 105-115
LOCALIZATION VS. IDENTIFICATION OF SEMI-ALGEBRAIC SETS
Authors: BENDAVID S LINDENBAUM M
Citation: S. Bendavid et M. Lindenbaum, LOCALIZATION VS. IDENTIFICATION OF SEMI-ALGEBRAIC SETS, Machine learning, 32(3), 1998, pp. 207-224
COEVOLUTION IN THE SUCCESSFUL LEARNING OF BACKGAMMON STRATEGY
Authors: POLLACK JB BLAIR AD
Citation: Jb. Pollack et Ad. Blair, COEVOLUTION IN THE SUCCESSFUL LEARNING OF BACKGAMMON STRATEGY, Machine learning, 32(3), 1998, pp. 225-240
COMMENTS ON COEVOLUTION IN THE SUCCESSFUL LEARNING OF BACKGAMMON STRATEGY
Authors: TESAURO G
Citation: G. Tesauro, COMMENTS ON COEVOLUTION IN THE SUCCESSFUL LEARNING OF BACKGAMMON STRATEGY, Machine learning, 32(3), 1998, pp. 241-243
LEARNING FROM EXAMPLES AND MEMBERSHIP QUERIES WITH STRUCTURED DETERMINATIONS
Authors: TADEPALLI P RUSSELL S
Citation: P. Tadepalli et S. Russell, LEARNING FROM EXAMPLES AND MEMBERSHIP QUERIES WITH STRUCTURED DETERMINATIONS, Machine learning, 32(3), 1998, pp. 245-295
SPECIAL ISSUE ON CONTEXT-SENSITIVITY AND CONCEPT DRIFT - INTRODUCTION
Authors: WIDMER G KUBAT M
Citation: G. Widmer et M. Kubat, SPECIAL ISSUE ON CONTEXT-SENSITIVITY AND CONCEPT DRIFT - INTRODUCTION, Machine learning, 32(2), 1998, pp. 83-84
ROBUST SENSOR FUSION - ANALYSIS AND APPLICATION TO AUDIO-VISUAL SPEECH RECOGNITION
Authors: MOVELLAN JR MINEIRO P
Citation: Jr. Movellan et P. Mineiro, ROBUST SENSOR FUSION - ANALYSIS AND APPLICATION TO AUDIO-VISUAL SPEECH RECOGNITION, Machine learning, 32(2), 1998, pp. 85-100
EXTRACTING HIDDEN CONTEXT
Authors: HARRIES MB SAMMUT C HORN K
Citation: Mb. Harries et al., EXTRACTING HIDDEN CONTEXT, Machine learning, 32(2), 1998, pp. 101-126
TRACKING THE BEST DISJUNCTION
Authors: AUER P WARMUTH MK
Citation: P. Auer et Mk. Warmuth, TRACKING THE BEST DISJUNCTION, Machine learning, 32(2), 1998, pp. 127-150
TRACKING THE BEST EXPERT
Authors: HERBSTER M WARMUTH MK
Citation: M. Herbster et Mk. Warmuth, TRACKING THE BEST EXPERT, Machine learning, 32(2), 1998, pp. 151-178
STATISTICAL-MECHANICS OF ONLINE LEARNING OF DRIFTING CONCEPTS - A VARIATIONAL APPROACH
Authors: VICENTE R KINOUCHI O CATICHA N
Citation: R. Vicente et al., STATISTICAL-MECHANICS OF ONLINE LEARNING OF DRIFTING CONCEPTS - A VARIATIONAL APPROACH, Machine learning, 32(2), 1998, pp. 179-201
ANALYTICAL MEAN SQUARED ERROR CURVES FOR TEMPORAL DIFFERENCE LEARNING
Authors: SINGH S DAYAN P
Citation: S. Singh et P. Dayan, ANALYTICAL MEAN SQUARED ERROR CURVES FOR TEMPORAL DIFFERENCE LEARNING, Machine learning, 32(1), 1998, pp. 5-40
THE HIERARCHICAL HIDDEN MARKOV MODEL - ANALYSIS AND APPLICATIONS
Authors: FINE S SINGER Y TISHBY N
Citation: S. Fine et al., THE HIERARCHICAL HIDDEN MARKOV MODEL - ANALYSIS AND APPLICATIONS, Machine learning, 32(1), 1998, pp. 41-62
TECHNICAL NOTE - USING MODEL TREES FOR CLASSIFICATION
Authors: FRANK E WANG Y INGLIS S HOLMES G WITTEN IH
Citation: E. Frank et al., TECHNICAL NOTE - USING MODEL TREES FOR CLASSIFICATION, Machine learning, 32(1), 1998, pp. 63-76
PHARMACOPHORE DISCOVERY USING THE INDUCTIVE LOGIC PROGRAMMING SYSTEM PROGOL (VOL 30, PG 256, 1998)
Authors: FINN P
Citation: P. Finn, PHARMACOPHORE DISCOVERY USING THE INDUCTIVE LOGIC PROGRAMMING SYSTEM PROGOL (VOL 30, PG 256, 1998), Machine learning, 32(1), 1998, pp. 77-77
JOINT SPECIAL ISSUE ON LEARNING IN AUTONOMOUS ROBOTS - FOREWORD
Authors: HEXMOOR H MATARIC M
Citation: H. Hexmoor et M. Mataric, JOINT SPECIAL ISSUE ON LEARNING IN AUTONOMOUS ROBOTS - FOREWORD, Machine learning, 31(1-3), 1998, pp. 5-6
RAPID CONCEPT-LEARNING FOR MOBILE ROBOTS
Authors: MAHADEVAN S THEOCHAROUS G KHALEELI N
Citation: S. Mahadevan et al., RAPID CONCEPT-LEARNING FOR MOBILE ROBOTS, Machine learning, 31(1-3), 1998, pp. 7-27
A PROBABILISTIC APPROACH TO CONCURRENT MAPPING AND LOCALIZATION FOR MOBILE ROBOTS
Authors: THRUN S BURGARD W FOX D
Citation: S. Thrun et al., A PROBABILISTIC APPROACH TO CONCURRENT MAPPING AND LOCALIZATION FOR MOBILE ROBOTS, Machine learning, 31(1-3), 1998, pp. 29-53
MODULE-BASED REINFORCEMENT LEARNING - EXPERIMENTS WITH A REAL ROBOT
Authors: KALMAR Z SZEPESVARI C LORINCZ A
Citation: Z. Kalmar et al., MODULE-BASED REINFORCEMENT LEARNING - EXPERIMENTS WITH A REAL ROBOT, Machine learning, 31(1-3), 1998, pp. 55-85
HIERARCHICAL LEARNING OF NAVIGATIONAL BEHAVIORS IN AN AUTONOMOUS ROBOT USING A PREDICTIVE SPARSE DISTRIBUTED-MEMORY
Authors: RAO RPN FUENTES O
Citation: Rpn. Rao et O. Fuentes, HIERARCHICAL LEARNING OF NAVIGATIONAL BEHAVIORS IN AN AUTONOMOUS ROBOT USING A PREDICTIVE SPARSE DISTRIBUTED-MEMORY, Machine learning, 31(1-3), 1998, pp. 87-113
LEARNING FROM INNATE BEHAVIORS - A QUANTITATIVE-EVALUATION OF NEURAL-NETWORK CONTROLLERS
Authors: SHARKEY NE
Citation: Ne. Sharkey, LEARNING FROM INNATE BEHAVIORS - A QUANTITATIVE-EVALUATION OF NEURAL-NETWORK CONTROLLERS, Machine learning, 31(1-3), 1998, pp. 115-139
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