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Table of contents of journal: *Neural computation

Results: 101-125/492
THE CANONICAL FORM OF NONLINEAR DISCRETE-TIME MODELS
Authors: DREYFUS G IDAN Y
Citation: G. Dreyfus et Y. Idan, THE CANONICAL FORM OF NONLINEAR DISCRETE-TIME MODELS, Neural computation, 10(1), 1998, pp. 133-164
A LOW-SENSITIVITY RECURRENT NEURAL-NETWORK
Authors: BACK AD TSOI AC
Citation: Ad. Back et Ac. Tsoi, A LOW-SENSITIVITY RECURRENT NEURAL-NETWORK, Neural computation, 10(1), 1998, pp. 165-188
FIXED-POINT ATTRACTOR ANALYSIS FOR A CLASS OF NEURODYNAMICS
Authors: FENG JF BROWN D
Citation: Jf. Feng et D. Brown, FIXED-POINT ATTRACTOR ANALYSIS FOR A CLASS OF NEURODYNAMICS, Neural computation, 10(1), 1998, pp. 189-213
GTM - THE GENERATIVE TOPOGRAPHIC MAPPING
Authors: BISHOP CM SVENSEN M WILLIAMS CKI
Citation: Cm. Bishop et al., GTM - THE GENERATIVE TOPOGRAPHIC MAPPING, Neural computation, 10(1), 1998, pp. 215-234
IDENTIFICATION CRITERIA AND LOWER BOUNDS FOR PERCEPTRON-LIKE LEARNINGRULES
Authors: SCHMITT M
Citation: M. Schmitt, IDENTIFICATION CRITERIA AND LOWER BOUNDS FOR PERCEPTRON-LIKE LEARNINGRULES, Neural computation, 10(1), 1998, pp. 235-250
MINIMAX ENTROPY PRINCIPLE AND ITS APPLICATION TO TEXTURE MODELING
Authors: ZHU SC WU YN MUMFORD D
Citation: Sc. Zhu et al., MINIMAX ENTROPY PRINCIPLE AND ITS APPLICATION TO TEXTURE MODELING, Neural computation, 9(8), 1997, pp. 1627-1660
A LOCAL LEARNING RULE THAT ENABLES INFORMATION MAXIMIZATION FOR ARBITRARY INPUT DISTRIBUTIONS
Authors: LINSKER R
Citation: R. Linsker, A LOCAL LEARNING RULE THAT ENABLES INFORMATION MAXIMIZATION FOR ARBITRARY INPUT DISTRIBUTIONS, Neural computation, 9(8), 1997, pp. 1661-1665
CONVERGENCE AND ORDERING OF KOHONENS BATCH MAP
Authors: CHENG YZ
Citation: Yz. Cheng, CONVERGENCE AND ORDERING OF KOHONENS BATCH MAP, Neural computation, 9(8), 1997, pp. 1667-1676
SOLITARY WAVES OF INTEGRATE-AND-FIRE NEURAL FIELDS
Authors: HORN D OPHER I
Citation: D. Horn et I. Opher, SOLITARY WAVES OF INTEGRATE-AND-FIRE NEURAL FIELDS, Neural computation, 9(8), 1997, pp. 1677-1690
TIME-SERIES SEGMENTATION USING PREDICTIVE MODULAR NEURAL NETWORKS
Authors: KEHAGIAS A PETRIDIS V
Citation: A. Kehagias et V. Petridis, TIME-SERIES SEGMENTATION USING PREDICTIVE MODULAR NEURAL NETWORKS, Neural computation, 9(8), 1997, pp. 1691-1709
ADAPTIVE MIXTURES OF PROBABILISTIC TRANSDUCERS
Authors: SINGER Y
Citation: Y. Singer, ADAPTIVE MIXTURES OF PROBABILISTIC TRANSDUCERS, Neural computation, 9(8), 1997, pp. 1711-1733
LONG SHORT-TERM-MEMORY
Authors: HOCHREITER S SCHMIDHUBER J
Citation: S. Hochreiter et J. Schmidhuber, LONG SHORT-TERM-MEMORY, Neural computation, 9(8), 1997, pp. 1735-1780
FACTOR-ANALYSIS USING DELTA-RULE WAKE-SLEEP LEARNING
Authors: NEAL RM DAYAN P
Citation: Rm. Neal et P. Dayan, FACTOR-ANALYSIS USING DELTA-RULE WAKE-SLEEP LEARNING, Neural computation, 9(8), 1997, pp. 1781-1803
DATA CLUSTERING USING A MODEL GRANULAR MAGNET
Authors: BLATT M WISEMAN S DOMANY E
Citation: M. Blatt et al., DATA CLUSTERING USING A MODEL GRANULAR MAGNET, Neural computation, 9(8), 1997, pp. 1805-1842
MEAN-FIELD THEORY FOR BATCHED TD(LAMBDA)
Authors: PINEDA FJ
Citation: Fj. Pineda, MEAN-FIELD THEORY FOR BATCHED TD(LAMBDA), Neural computation, 9(7), 1997, pp. 1403-1419
REDUNDANCY REDUCTION AND INDEPENDENT COMPONENT ANALYSIS - CONDITIONS ON CUMULANTS AND ADAPTIVE APPROACHES
Authors: NADAL JP PARGA N
Citation: Jp. Nadal et N. Parga, REDUNDANCY REDUCTION AND INDEPENDENT COMPONENT ANALYSIS - CONDITIONS ON CUMULANTS AND ADAPTIVE APPROACHES, Neural computation, 9(7), 1997, pp. 1421-1456
ADAPTIVE ONLINE LEARNING ALGORITHMS FOR BLIND SEPARATION - MAXIMUM-ENTROPY AND MINIMUM MUTUAL INFORMATION
Authors: YANG HH AMARI S
Citation: Hh. Yang et S. Amari, ADAPTIVE ONLINE LEARNING ALGORITHMS FOR BLIND SEPARATION - MAXIMUM-ENTROPY AND MINIMUM MUTUAL INFORMATION, Neural computation, 9(7), 1997, pp. 1457-1482
A FAST FIXED-POINT ALGORITHM FOR INDEPENDENT COMPONENT ANALYSIS
Authors: HYVARINEN A OJA E
Citation: A. Hyvarinen et E. Oja, A FAST FIXED-POINT ALGORITHM FOR INDEPENDENT COMPONENT ANALYSIS, Neural computation, 9(7), 1997, pp. 1483-1492
DIMENSION REDUCTION BY LOCAL PRINCIPAL COMPONENT ANALYSIS
Authors: KAMBHATLA N LEEN TK
Citation: N. Kambhatla et Tk. Leen, DIMENSION REDUCTION BY LOCAL PRINCIPAL COMPONENT ANALYSIS, Neural computation, 9(7), 1997, pp. 1493-1516
A CONSTRUCTIVE, INCREMENTAL-LEARNING NETWORK FOR MIXTURE MODELING ANDCLASSIFICATION
Authors: WILLIAMSON JR
Citation: Jr. Williamson, A CONSTRUCTIVE, INCREMENTAL-LEARNING NETWORK FOR MIXTURE MODELING ANDCLASSIFICATION, Neural computation, 9(7), 1997, pp. 1517-1543
SHAPE QUANTIZATION AND RECOGNITION WITH RANDOMIZED TREES
Authors: AMIT Y GEMAN D
Citation: Y. Amit et D. Geman, SHAPE QUANTIZATION AND RECOGNITION WITH RANDOMIZED TREES, Neural computation, 9(7), 1997, pp. 1545-1588
AIRLINE CREW SCHEDULING WITH POTTS NEURONS
Authors: LAGERHOLM M PETERSON C SODERBERG B
Citation: M. Lagerholm et al., AIRLINE CREW SCHEDULING WITH POTTS NEURONS, Neural computation, 9(7), 1997, pp. 1589-1599
ONLINE LEARNING IN RADIAL BASIS FUNCTION NETWORKS
Authors: FREEMAN JAS SAAD D
Citation: Jas. Freeman et D. Saad, ONLINE LEARNING IN RADIAL BASIS FUNCTION NETWORKS, Neural computation, 9(7), 1997, pp. 1601-1622
IMAGE SEGMENTATION BASED ON OSCILLATORY CORRELATION (VOL 9, PG 824, 1997)
Authors: WANG DL TERMAN D
Citation: Dl. Wang et D. Terman, IMAGE SEGMENTATION BASED ON OSCILLATORY CORRELATION (VOL 9, PG 824, 1997), Neural computation, 9(7), 1997, pp. 1623-1626
THE NEURON SIMULATION ENVIRONMENT
Authors: HINES ML CARNEVALE NT
Citation: Ml. Hines et Nt. Carnevale, THE NEURON SIMULATION ENVIRONMENT, Neural computation, 9(6), 1997, pp. 1179-1209
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