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TitleAuthorsort descendingContent TypePub Date
Computational Modeling of Human Language Acquisition [COLI 37:3]Sharon GoldwaterArticle2011-09-01
Editorial Introduction [EVCO 4:1]Article1996-03-01
Four Types of Learning Curves [NECO 4:4]Shun-ichi Amari, Naotake Fujita, Shigeru ShinomotoArticle1992-07-01
Correlation and Independence in the Neural Code [NECO 18:6]Shun-ichi Amari, Hiroyuki NakaharaArticle2006-06-01
Finding Minimum Entropy Codes [NECO 1:3]H.B. Barlow, T.P. Kaushal, G.J. MitchisonArticle1989-09-01
Exact Inferences in a Neural Implementation of a Hidden Markov Model [NECO 19:5]Jeffrey M. Beck, Alexandre PougetArticle2007-05-01
Learning Mixture Models of Spatial Coherence [NECO 5:2]Suzanna Becker, Geoffrey E. HintonArticle1993-03-01
Exact Calculation of the Hessian Matrix for the Multilayer Perceptron [NECO 4:4]Chris BishopArticle1992-07-01
Approximation of Boolean Functions by Sigmoidal Networks: Part I: XOR and Other ... [NECO 1:4]E. K. BlumArticle1989-12-01
The Brain as a Statistical Inference Engine—and You Can Too* [COLI 37:4]Eugene CharniakArticle2011-12-01
Constraint Handling Using Tournament Selection: Abductive Inference in Partly De... [EVCO 17:1]Severino F. Galán, Ole J. MengshoelArticle2009-03-01
Robust L1 Principal Component Analysis and Its Bayesian Variational Inference [NECO 20:2]Junbin GaoArticle2008-02-01
Learning in the Recurrent Random Neural Network [NECO 5:1]Erol GelenbeArticle1993-01-01
Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors [NECO 18:8]Mark Girolami, Simon RogersArticle2006-08-01
Regularization Theory and Neural Networks Architectures [NECO 7:2]Federico Girosi, Michael Jones, Tomaso PoggioArticle1995-03-01
Rule-Based Neural Networks for Classification and Probability Estimation [NECO 4:6]Rodney M. Goodman, Charles M. Higgins, John W. Miller, Padhraic SmythArticle1992-11-01
Pruning from Adaptive Regularization [NECO 6:6]Lars Kai Hansen, Carl Edward RasmussenArticle1994-11-01
A Fast Learning Algorithm for Deep Belief Nets [NECO 18:7]Geoffrey E. Hinton, Simon Osindero, Yee-Whye TehArticle2006-07-01
On the Practical Applicability of VC Dimension Bounds [NECO 7:6]Sean B. Holden, Mahesan NiranjanArticle1995-11-01
Optimal Approximation of Signal Priors [NECO 20:12]Aapo HyvärinenArticle2008-12-01
Simultaneous Approximations of Polynomials and Derivatives and Their Application... [NECO 20:11]Yoshifusa ItoArticle2008-11-01
Parametric Embedding for Class Visualization [NECO 19:9]Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. TenenbaumArticle2007-09-01
Methods For Combining Experts' Probability Assessments [NECO 7:5]Robert A. JacobsArticle1995-09-01
Bayesian Model Comparison in Nonlinear BOLD fMRI Hemodynamics [NECO 20:3]Daniel J. Jacobsen, Lars Kai Hansen, Kristoffer Hougaard MadsenArticle2008-03-01
On the Consistency of Bayesian Variable Selection for High Dimensional Binary Re... [NECO 18:11]Wenxin JiangArticle2006-11-01
Evolving Compare-Exchange Networks Using Grammars [ARTL 2:2]Thomas E. Kammeyer, Richard K. Belew, S. Gill WilliamsonArticle1995-01-01
Optimal Network Construction by Minimum Description Length [NECO 5:2]Gary D. Kendall, Trevor J. HallArticle1993-03-01
Representations of Space and Time in the Maximization of Information Flow in the... [NECO 19:9]Alexander S. Klyubin, Daniel Polani, Chrystopher L. NehanivArticle2007-09-01
How to Solve the N Bit Encoder Problem with Just Two Hidden Units [NECO 2:4]Leonid KruglyakArticle1990-12-01
Backpropagation Applied to Handwritten Zip Code Recognition [NECO 1:4]Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard, L. D. JackelArticle1989-12-01
Bayesian Modeling and Classification of Neural Signals [NECO 6:5]Michael S. LewickiArticle1994-09-01
On the Consistency of Bayesian Function Approximation Using Step Functions [NECO 19:11]Heng LianArticle2007-11-01
Penalized Probabilistic Clustering [NECO 19:6]Zhengdong Lu, Todd K. LeenArticle2007-06-01
A Bayesian Analysis of Self-Organizing Maps [NECO 6:5]Stephen P. LuttrellArticle1994-09-01
Bayesian Interpolation [NECO 4:3]David J. C. MacKayArticle1992-05-01
A Practical Bayesian Framework for Backpropagation Networks [NECO 4:3]David J. C. MacKayArticle1992-05-01
Information-Based Objective Functions for Active Data Selection [NECO 4:4]David J. C. MacKayArticle1992-07-01
The Evidence Framework Applied to Classification Networks [NECO 4:5]David J. C. MacKayArticle1992-09-01
Neural Network Models for Conditional Distribution Under Bayesian Analysis [NECO 20:2]Tatiana Miazhynskaia, Sylvia Frühwirth-Schnatter, Georg DorffnerArticle2008-02-01
Transductive Methods for the Distributed Ensemble Classification Problem [NECO 19:3]David J. Miller, Siddharth PalArticle2007-03-01
Factoring Networks by a Statistical Method [NECO 4:6]Nelson Morgan, Hervé BourlardArticle1992-11-01
FDA -A Scalable Evolutionary Algorithm for the Optimization of Additively Decomp... [EVCO 7:4]Heinz Mühlenbein, Thilo MahnigArticle1999-12-01
Asymmetric Parallel Boltzmann Machines are Belief Networks [NECO 4:6]Radford M. NealArticle1992-11-01
A Possible Neural Mechanism for Computing Shape From Shading [NECO 1:2]Alex PentlandArticle1989-06-01
A Recurrent Network Implementation of Time Series Classification [NECO 8:2]Vassilios Petridis, Athanasios KehagiasArticle1996-02-01
Neural Network Classifiers Estimate Bayesian a posteriori Probabilities [NECO 3:4]Michael D. Richard, Richard P. LippmannArticle1991-12-01
An Evolutionary Computing Approach to Probabilistic Reasoning on Bayesian Networ... [EVCO 4:1]Carlos Rojas-Guzmán, Mark A. KramerArticle1996-03-01
A Multiple-Map Model for Pattern Classification [NECO 1:1]Alan Rojer, Eric SchwartzArticle1989-03-01
Bayesian Inference Explains Perception of Unity and Ventriloquism Aftereffect: I... [NECO 19:12]Yoshiyuki Sato, Taro Toyoizumi, Kazuyuki AiharaArticle2007-12-01
Discovering Predictable Classifications [NECO 5:4]Jürgen Schmidhuber, Daniel PrelingerArticle1993-07-01

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