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TitleAuthorContent Typesort descendingPub Date
Deciphering the Brain's Codes [NECO 3:1]Masakazu KonishiArticle1991-03-01
A Tree-Structured Algorithm for Reducing Computation in Networks with Separable ... [NECO 3:1]Terence D. SangerArticle1991-03-01
A Resource-Allocating Network for Function Interpolation [NECO 3:2]John PlattArticle1991-06-01
On the Convergence of the LMS Algorithm with Adaptive Learning Rate for Linear F... [NECO 3:2]Zhi-Quan LuoArticle1991-06-01
Universal Approximation Using Radial-Basis-Function Networks [NECO 3:2]J. Park, I. W. SandbergArticle1991-06-01
Constrained Nets for Graph Matching and Other Quadratic Assignment Problems [NECO 3:2]Petar D. SimićArticle1991-06-01
A Modified Quickprop Algorithm [NECO 3:3]Alistair Craig Veitch, Geoffrey HolmesArticle1991-09-01
2-Degree-of-freedom Robot Path Planning using Cooperative Neural Fields [NECO 3:3]Michael LemmonArticle1991-09-01
Parameter Sensitivity of the Elastic Net Approach to the Traveling Salesman Prob... [NECO 3:3]Martin W. SimmenArticle1991-09-01
FIR and IIR Synapses, a New Neural Network Architecture for Time Series Modeling [NECO 3:3]A. D. Back, A. C. TsoiArticle1991-09-01
Including Hints in Training Neural Nets [NECO 3:3]Khalid A. Al-Mashouq, Irving S. ReedArticle1991-09-01
Handwritten Digit Recognition Using K Nearest-Neighbor, Radial-Basis Function, a... [NECO 3:3]Yuchun LeeArticle1991-09-01
Lowering Variance of Decisions by Using Artificial Neural Network Portfolios [NECO 3:4]Ganesh ManiArticle1991-12-01
Contrastive Learning and Neural Oscillations [NECO 3:4]Pierre Baldi, Fernando PinedaArticle1991-12-01
Predicting the Future: Advantages of Semilocal Units [NECO 3:4]Eric Hartman, James D. KeelerArticle1991-12-01
Improving the Generalization Properties of Radial Basis Function Neural Networks [NECO 3:4]Chris BishopArticle1991-12-01
Temporal Evolution of Generalization during Learning in Linear Networks [NECO 3:4]Pierre Baldi, Yves ChauvinArticle1991-12-01
Learning the Unlearnable [NECO 3:4]Dan Nabutovsky, Eytan DomanyArticle1991-12-01
Neural Networks and the Bias/Variance Dilemma [NECO 4:1]Stuart Geman, Elie Bienenstock, René DoursatArticle1992-01-01
Local Feedback Multilayered Networks [NECO 4:1]Paolo Frasconi, Marco Gori, Giovanni SodaArticle1992-01-01
Efficient Simplex-Like Methods for Equilibria of Nonsymmetric Analog Networks [NECO 4:2]Douglas A. Miller, Steven W. ZuckerArticle1992-03-01
On a Magnitude Preserving Iterative MAXnet Algorithm [NECO 4:2]Bruce W. Suter, Matthew KabriskyArticle1992-03-01
Learning Complex, Extended Sequences Using the Principle of History Compression [NECO 4:2]Jürgen SchmidhuberArticle1992-03-01
A Fixed Size Storage O(n3) Time Complexity Learning Algorithm for Fully Recurren... [NECO 4:2]Jürgen SchmidhuberArticle1992-03-01
How Tight Are the Vapnik-Chervonenkis Bounds? [NECO 4:2]David Cohn, Gerald TesauroArticle1992-03-01
Exact Calculation of the Hessian Matrix for the Multilayer Perceptron [NECO 4:4]Chris BishopArticle1992-07-01
Learning to Segment Images Using Dynamic Feature Binding [NECO 4:5]Michael C. Mozer, Richard S. Zemel, Marlene Behrmann, Christopher K. I. WilliamsArticle1992-09-01
Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear... [NECO 4:5]Ralph LinskerArticle1992-09-01
Learning Curves for Error Minimum and Maximum Likelihood Algorithms [NECO 4:5]Y. Kabashima, S. ShinomotoArticle1992-09-01
Ultrasound Tomography Imaging of Defects Using Neural Networks [NECO 4:5]Denis M. Anthony, Evor L. Hines, David A. Hutchins, J. T. MottramArticle1992-09-01
How to Incorporate New Pattern Pairs without Having to Teach the Previously Acqu... [NECO 4:6]H. M. Wabgaonkar, A. R. StubberudArticle1992-11-01
Local Learning Algorithms [NECO 4:6]Léon Bottou, Vladimir VapnikArticle1992-11-01
An Adaptive Lattice Architecture for Dynamic Multilayer Perceptrons [NECO 4:6]Andrew D. Back, Ah Chung TsoiArticle1992-11-01
A "Thermal" Perceptron Learning Rule [NECO 4:6]Marcus FreanArticle1992-11-01
Convergent Algorithm for Sensory Receptive Field Development [NECO 5:1]Joseph J. Atick, A. Norman RedlichArticle1993-01-01
Complexity Optimized Data Clustering by Competitive Neural Networks [NECO 5:1]Joachim Buhmann, Hans KühnelArticle1993-01-01
Clustering Data by Melting [NECO 5:1]Yiu-fai WongArticle1993-01-01
Training Periodic Sequences Using Fourier Series Error Criterion [NECO 5:1]James A. KottasArticle1993-01-01
Learning in the Recurrent Random Neural Network [NECO 5:1]Erol GelenbeArticle1993-01-01
Approximation and Radial-Basis-Function Networks [NECO 5:2]Jooyoung Park, Irwin W. SandbergArticle1993-03-01
Neural Networks for Optimization Problems with Inequality Constraints: The Knaps... [NECO 5:2]Mattias Ohlsson, Carsten Peterson, Bo SöderbergArticle1993-03-01
A Neural Network for the Processing of Optic Flow from Ego-Motion in Man and Hig... [NECO 5:3]Markus Lappe, Josef P. RauscheckerArticle1993-05-01
A Simplified Gradient Algorithm for IIR Synapse Multilayer Perceptrons [NECO 5:3]Andrew D. Back, Ah Chung TsoiArticle1993-05-01
Robustness in Multilayer Perceptrons [NECO 5:3]P. Kerlirzin, F. ValletArticle1993-05-01
Improving Generalization for Temporal Difference Learning: The Successor Represe... [NECO 5:4]Peter DayanArticle1993-07-01
Supervised Factorial Learning [NECO 5:5]A. Norman RedlichArticle1993-09-01
On Learning Perceptrons with Binary Weights [NECO 5:5]Mostefa Golea, Mario MarchandArticle1993-09-01
Construction of Minimal n-2-n Encoders for Any n [NECO 5:5]D. S. Phatak, H. Choi, I. KorenArticle1993-09-01
Recurrent and Feedforward Polynomial Modeling of Coupled Time Series [NECO 5:5]Vicente López, Ramón Huerta, José R. DorronsoroArticle1993-09-01
Fast Recognition of Noisy Digits [NECO 5:6]Jeffrey N. Kidder, Daniel SeligsonArticle1993-11-01

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