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TitleAuthorContent Typesort descendingPub Date
On Functional Approximation with Normalized Gaussian Units [NECO 6:2]Michel BenaimArticle1994-03-01
Integration and Differentiation in Dynamic Recurrent Neural Networks [NECO 6:3]Edwin E. Munro, Larry E. Shupe, Eberhard E. FetzArticle1994-05-01
A Convergence Result for Learning in Recurrent Neural Networks [NECO 6:3]Chung-Ming Kuan, Kurt Hornik, Halbert WhiteArticle1994-05-01
Duality Between Learning Machines: A Bridge Between Supervised and Unsupervised ... [NECO 6:3]J.-P. Nadal, N. PargaArticle1994-05-01
Finding the Embedding Dimension and Variable Dependencies in Time Series [NECO 6:3]Hong Pi, Carsten PetersonArticle1994-05-01
Analysis of the Effects of Noise on a Model for the Neural Mechanism of Short-Te... [NECO 6:4]J. Devin McAuley, Joseph StampfliArticle1994-07-01
Reduction of Conductance-Based Models with Slow Synapses to Neural Nets [NECO 6:4]Bard ErmentroutArticle1994-07-01
Dimension Reduction of Biological Neuron Models by Artificial Neural Networks [NECO 6:4]Kenji Doya, Allen I. SelverstonArticle1994-07-01
Neural Network Process Models Based on Linear Model Structures [NECO 6:4]Gary M. Scott, W. Harmon RayArticle1994-07-01
Stability of Oja's PCA Subspace Rule [NECO 6:4]Juha KarhunenArticle1994-07-01
Why Some Feedforward Networks Cannot Learn Some Polynomials [NECO 6:4]N. Scott Cardell, Wayne Joerding, Ying LiArticle1994-07-01
Neural Nets with Superlinear VC-Dimension [NECO 6:5]Wolfgang MaassArticle1994-09-01
Probabilistic Winner-Take-All Learning Algorithm for Radial-Basis-Function Neura... [NECO 6:5]Hossam Osman, Moustafa M. FahmyArticle1994-09-01
First-Order Recurrent Neural Networks and Deterministic Finite State Automata [NECO 6:6]Peter Manolios, Robert FanelliArticle1994-11-01
Pruning from Adaptive Regularization [NECO 6:6]Lars Kai Hansen, Carl Edward RasmussenArticle1994-11-01
Approximation Capability of Layered Neural Networks with Sigmoid Units on Two La... [NECO 6:6]Yoshifusa ItoArticle1994-11-01
Degree of Approximation Results for Feedforward Networks Approximating Unknown M... [NECO 6:6]Kurt Hornik, Maxwell Stinchcombe, Halbert White, Peter AuerArticle1994-11-01
Influence Function Analysis of PCA and BCM Learning [NECO 6:6]Yong LiuArticle1994-11-01
Convergence Theorems for Hybrid Learning Rules [NECO 7:1]Michel BenaimArticle1995-01-01
A Type of Duality between Self-Organizing Maps and Minimal Wiring [NECO 7:1]Graeme MitchisonArticle1995-01-01
A Multiple Cause Mixture Model for Unsupervised Learning [NECO 7:1]Eric SaundArticle1995-01-01
Unsupervised Mutual Information Criterion for Elimination of Overtraining in Sup... [NECO 7:1]G. Deco, W. Finnoff, H. G. ZimmermannArticle1995-01-01
Training with Noise is Equivalent to Tikhonov Regularization [NECO 7:1]Chris M. BishopArticle1995-01-01
Learning a Decision Boundary from Stochastic Examples: Incremental Algorithms wi... [NECO 7:1]Yoshiyuki Kabashima, Shigeru ShinomotoArticle1995-01-01
Arithmetic Perceptrons [NECO 7:1]Sergio A. CannasArticle1995-01-01
Real-Time Control of a Tokamak Plasma Using Neural Networks [NECO 7:1]Chris M. Bishop, Paul S. Haynes, Mike E. U. Smith, Tom N. Todd, David L. TrotmanArticle1995-01-01
A Counterexample to Temporal Differences Learning [NECO 7:2]Dimitri P. BertsekasArticle1995-03-01
New Perceptron Model Using Random Bitstreams [NECO 7:2]Eel-wan Lee, Soo-Ik ChaeArticle1995-03-01
On the Ordering Conditions for Self-Organizing Maps [NECO 7:2]Marco Budinich, John G. TaylorArticle1995-03-01
Identification Using Feedforward Networks [NECO 7:2]Asriel U. Levin, Kumpati S. NarendraArticle1995-03-01
Memory Recall by Quasi-Fixed-Point Attractors in Oscillator Neural Networks [NECO 7:3]Tomoki Fukai, Masatoshi ShiinoArticle1995-05-01
Competition and Multiple Cause Models [NECO 7:3]Peter Dayan, Richard S. ZemelArticle1995-05-01
Adaptive Voting Rules for k-Nearest Neighbors Classifiers [NECO 7:3]R. Rovatti, R. Ragazzoni, Zs. M. Kovàcs, R. GuerrieriArticle1995-05-01
Bootstrapping Confidence Intervals for Clinical Input Variable Effects in a Netw... [NECO 7:3]William G. Baxt, Halbert WhiteArticle1995-05-01
Generalization and Analysis of the Lisberger-Sejnowski VOR Model [NECO 7:4]Ning QianArticle1995-07-01
Stable Adaptive Control of Robot Manipulators Using “Neural” Networks [NECO 7:4]Robert M. Sanner, Jean-Jacques E. SlotineArticle1995-07-01
Error Estimation by Series Association for Neural Network Systems [NECO 7:4]Keehoon Kim, Eric B. BartlettArticle1995-07-01
The Helmholtz Machine [NECO 7:5]Peter Dayan, Geoffrey E. Hinton, Radford M. Neal, Richard S. ZemelArticle1995-09-01
Precision and Approximate Flatness in Artificial Neural Networks [NECO 7:5]Maxwell B. StinchcombeArticle1995-09-01
A Perceptron Reveals the Face of Sex [NECO 7:6]Michael S. Gray, David T. Lawrence, Beatrice A. Golomb, Terrence J. SejnowskiArticle1995-11-01
Introducing Asymmetry into Interneuron Learning [NECO 7:6]Colin FyfeArticle1995-11-01
Lower Bounds for the Computational Power of Networks of Spiking Neurons [NECO 8:1]Wolfgang MaassArticle1996-01-01
A Short Proof of the Posterior Probability Property of Classifier Neural Network... [NECO 8:1]Raúl RojasArticle1996-01-01
A Spherical Basis Function Neural Network for Modeling Auditory Space [NECO 8:1]Rick L. Jenison, Kate FissellArticle1996-01-01
Diagrammatic Derivation of Gradient Algorithms for Neural Networks [NECO 8:1]Eric A. Wan, Françoise BeaufaysArticle1996-01-01
Neural Network Models of Perceptual Learning of Angle Discrimination [NECO 8:2]G. Mato, H. SompolinskyArticle1996-02-01
Annealed Competition of Experts for a Segmentation and Classification of Switchi... [NECO 8:2]Klaus Pawelzik, Jens Kohlmorgen, Klaus-Robert MüllerArticle1996-02-01
A Recurrent Network Implementation of Time Series Classification [NECO 8:2]Vassilios Petridis, Athanasios KehagiasArticle1996-02-01
Temporal Segmentation in a Neural Dynamic System [NECO 8:2]David Horn, Irit OpherArticle1996-02-01
A Self-Organizing Neural Network for the Traveling Salesman Problem That Is Comp... [NECO 8:2]Marco BudinichArticle1996-02-01

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