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Results: 1-17 |
Results: 17
ALMOST LINEAR VC-DIMENSION BOUNDS FOR PIECEWISE POLYNOMIAL NETWORKS
Authors: BARTLETT PL MAIOROV V
Citation: Pl. Bartlett et V. Maiorov, ALMOST LINEAR VC-DIMENSION BOUNDS FOR PIECEWISE POLYNOMIAL NETWORKS, Neural computation, 10(8), 1998, pp. 2159-2173
INTRODUCTION TO THE SPECIAL ISSUE ON LEARNING-THEORY
Authors: BARTLETT PL VIDYASAGAR M
Citation: Pl. Bartlett et M. Vidyasagar, INTRODUCTION TO THE SPECIAL ISSUE ON LEARNING-THEORY, Systems & control letters, 34(3), 1998, pp. 113-114
THE COMPLEXITY OF MODEL CLASSES, AND SMOOTHING NOISY DATA
Authors: BARTLETT PL KULKARNI SR
Citation: Pl. Bartlett et Sr. Kulkarni, THE COMPLEXITY OF MODEL CLASSES, AND SMOOTHING NOISY DATA, Systems & control letters, 34(3), 1998, pp. 133-140
PREDICTION, LEARNING, UNIFORM-CONVERGENCE, AND SCALE-SENSITIVE DIMENSIONS
Authors: BARTLETT PL LONG PM
Citation: Pl. Bartlett et Pm. Long, PREDICTION, LEARNING, UNIFORM-CONVERGENCE, AND SCALE-SENSITIVE DIMENSIONS, Journal of computer and system sciences (Print), 56(2), 1998, pp. 174-190
THE MINIMAX DISTORTION REDUNDANCY IN EMPIRICAL QUANTIZER DESIGN
Authors: BARTLETT PL LINDER T LUGOSI G
Citation: Pl. Bartlett et al., THE MINIMAX DISTORTION REDUNDANCY IN EMPIRICAL QUANTIZER DESIGN, IEEE transactions on information theory, 44(5), 1998, pp. 1802-1813
STRUCTURAL RISK MINIMIZATION OVER DATA-DEPENDENT HIERARCHIES
Authors: SHAWETAYLOR J BARTLETT PL WILLIAMSON RC ANTHONY M
Citation: J. Shawetaylor et al., STRUCTURAL RISK MINIMIZATION OVER DATA-DEPENDENT HIERARCHIES, IEEE transactions on information theory, 44(5), 1998, pp. 1926-1940
THE IMPORTANCE OF CONVEXITY IN LEARNING WITH SQUARED LOSS
Authors: LEE WS BARTLETT PL WILLIAMSON RC
Citation: Ws. Lee et al., THE IMPORTANCE OF CONVEXITY IN LEARNING WITH SQUARED LOSS, IEEE transactions on information theory, 44(5), 1998, pp. 1974-1980
THE SAMPLE COMPLEXITY OF PATTERN-CLASSIFICATION WITH NEURAL NETWORKS - THE SIZE OF THE WEIGHTS IS MORE IMPORTANT THAN THE SIZE OF THE NETWORK
Authors: BARTLETT PL
Citation: Pl. Bartlett, THE SAMPLE COMPLEXITY OF PATTERN-CLASSIFICATION WITH NEURAL NETWORKS - THE SIZE OF THE WEIGHTS IS MORE IMPORTANT THAN THE SIZE OF THE NETWORK, IEEE transactions on information theory, 44(2), 1998, pp. 525-536
OPTIMAL CONTROLLER PROPERTIES FROM CLOSED-LOOP EXPERIMENTS (VOL 34, PG 83, 1998)
Authors: KAMMER LC BITMEAD RR BARTLETT PL
Citation: Lc. Kammer et al., OPTIMAL CONTROLLER PROPERTIES FROM CLOSED-LOOP EXPERIMENTS (VOL 34, PG 83, 1998), Automatica (Oxford), 34(9), 1998, pp. 1154-1154
OPTIMAL CONTROLLER PROPERTIES FROM CLOSED-LOOP EXPERIMENTS
Authors: KAMMER LC BITMEAD RR BARTLETT PL
Citation: Lc. Kammer et al., OPTIMAL CONTROLLER PROPERTIES FROM CLOSED-LOOP EXPERIMENTS, Automatica, 34(1), 1998, pp. 83-91
LOWER BOUNDS ON VC-DIMENSION OF SMOOTHLY PARAMETERIZED FUNCTION CLASSES (VOL 7, PG 1040, 1995)
Authors: LEE WS BARTLETT PL WILLIAMSON RC
Citation: Ws. Lee et al., LOWER BOUNDS ON VC-DIMENSION OF SMOOTHLY PARAMETERIZED FUNCTION CLASSES (VOL 7, PG 1040, 1995), Neural computation, 9(4), 1997, pp. 765-769
COVERING NUMBERS FOR REAL-VALUED FUNCTION CLASSES
Authors: BARTLETT PL KULKARNI SR POSNER SE
Citation: Pl. Bartlett et al., COVERING NUMBERS FOR REAL-VALUED FUNCTION CLASSES, IEEE transactions on information theory, 43(5), 1997, pp. 1721-1724
THE VC DIMENSION AND PSEUDODIMENSION OF 2-LAYER NEURAL NETWORKS WITH DISCRETE INPUTS
Authors: BARTLETT PL WILLIAMSON RC
Citation: Pl. Bartlett et Rc. Williamson, THE VC DIMENSION AND PSEUDODIMENSION OF 2-LAYER NEURAL NETWORKS WITH DISCRETE INPUTS, Neural computation, 8(3), 1996, pp. 625-628
FAT-SHATTERING AND THE LEARNABILITY OF REAL-VALUED FUNCTIONS
Authors: BARTLETT PL LONG PM WILLIAMSON RC
Citation: Pl. Bartlett et al., FAT-SHATTERING AND THE LEARNABILITY OF REAL-VALUED FUNCTIONS, Journal of computer and system sciences, 52(3), 1996, pp. 434-452
EFFICIENT AGNOSTIC LEARNING OF NEURAL NETWORKS WITH BOUNDED FAN-IN
Authors: LEE WS BARTLETT PL WILLIAMSON RC
Citation: Ws. Lee et al., EFFICIENT AGNOSTIC LEARNING OF NEURAL NETWORKS WITH BOUNDED FAN-IN, IEEE transactions on information theory, 42(6), 1996, pp. 2118-2132
LOWER BOUNDS ON THE VC-DIMENSION OF SMOOTHLY PARAMETERIZED FUNCTION CLASSES
Authors: LEE WS BARTLETT PL WILLIAMSON RC
Citation: Ws. Lee et al., LOWER BOUNDS ON THE VC-DIMENSION OF SMOOTHLY PARAMETERIZED FUNCTION CLASSES, Neural computation, 7(5), 1995, pp. 1040-1053
VAPNIK-CHERVONENKIS DIMENSION BOUNDS FOR 2-LAYER AND 3-LAYER NETWORKS
Authors: BARTLETT PL
Citation: Pl. Bartlett, VAPNIK-CHERVONENKIS DIMENSION BOUNDS FOR 2-LAYER AND 3-LAYER NETWORKS, Neural computation, 5(3), 1993, pp. 371-373
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