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Titlesort descendingAuthorContent TypePub Date
On Learning Perceptrons with Binary Weights [NECO 5:5]Mostefa Golea, Mario MarchandArticle1993-09-01
On the Convergence of Stochastic Iterative Dynamic Programming Algorithms [NECO 6:6]Tommi Jaakkola, Michael I. Jordan, Satinder P. SinghArticle1994-11-01
On the Convergence of the LMS Algorithm with Adaptive Learning Rate for Linear F... [NECO 3:2]Zhi-Quan LuoArticle1991-06-01
On the Origin of ObjectsBrian Cantwell SmithBook1998-01-09
On the Practical Applicability of VC Dimension Bounds [NECO 7:6]Sean B. Holden, Mahesan NiranjanArticle1995-11-01
Online Adaptive Decision Trees: Pattern Classification and Function Approximatio... [NECO 18:9]Jayanta BasakArticle2006-09-01
Online Learning in Radial Basis Function Networks [NECO 9:7]Jason A. S. Freeman, David SaadArticle1997-07-01
Online Learning with Hidden Markov Models [NECO 20:7]Gianluigi Mongillo, Sophie DeneveArticle2008-07-01
Optimal Network Construction by Minimum Description Length [NECO 5:2]Gary D. Kendall, Trevor J. HallArticle1993-03-01
Optimality-Theoretic SyntaxGéraldine Legendre, Jane Grimshaw, Sten ViknerBook2001-04-02
Parallel Distributed Processing, Volume 1David E. Rumelhart, James L. McClelland, PDP Research GroupBook1987-07-29
Pattern Discrimination Using Feedforward Networks: A Benchmark Study of Scaling ... [NECO 5:3]Thorsteinn RögnvaldssonArticle1993-05-01
Pattern Recognition by Self-Organizing Neural NetworksGail A. Carpenter, Stephen GrossbergBook1991-04-18
Penalized Probabilistic Clustering [NECO 19:6]Zhengdong Lu, Todd K. LeenArticle2007-06-01
The Perceptron Algorithm is Fast for Nonmalicious Distributions [NECO 2:2]Eric B. BaumArticle1990-06-01
Perceptual LearningManfred Fahle, Tomaso A. PoggioBook2002-04-30
Performance and Efficiency of Memetic Pittsburgh Learning Classifier Systems [EVCO 17:3]Jaume Bacardit, Natalio KrasnogorArticle2009-09-01
Perspectives in Memory ResearchMichael S. GazzanigaBook1988-09-22
Philosophy and AIRobert Cummins, John L. PollockBook1995-08-28
A Polynomial Time Algorithm for Generating Neural Networks for Pattern Classific... [NECO 5:2]Somnath Mukhopadhyay, Asim Roy, Lark Sang Kim, Sandeep GovilArticle1993-03-01
A Possible Neural Mechanism for Computing Shape From Shading [NECO 1:2]Alex PentlandArticle1989-06-01
Practical Applications of Sparse ModelingIrina Rish, Guillermo A. Cecchi, Aurelie Lozano, Alexandru Niculescu-MizilBook2014-10-30
A Practical Approach for Representing Context and for Performing Word Sense Disa... [NECO 3:3]Stephen I. GallantArticle1991-09-01
A Practical Bayesian Framework for Backpropagation Networks [NECO 4:3]David J. C. MacKayArticle1992-05-01
Probabilistic Models of the BrainRajesh P.N. Rao, Bruno A. Olshausen, Michael S. LewickiBook2002-02-15
A Probabilistic Resource Allocating Network for Novelty Detection [NECO 6:2]Stephen Roberts, Lionel TarassenkoArticle1994-03-01
Probabilistic Winner-Take-All Learning Algorithm for Radial-Basis-Function Neura... [NECO 6:5]Hossam Osman, Moustafa M. FahmyArticle1994-09-01
Production System Models of Learning and DevelopmentDavid Klahr, Patrick W. Langley, Robert T. NechesBook1987-01-26
A Proposal for More Powerful Learning Algorithms [NECO 1:2]Eric B. BaumArticle1989-06-01
Race in the MakingLawrence A. HirschfeldBook1998-07-31
Readings in Machine TranslationSergei Nirenburg, Harold L. Somers, Yorick A. WilksBook2003-07-13
Readings in Machine Translation [COLI 30:1]Elliott MacklovitchArticle2004-03-01
Recent Advances in Evolvable Systems-ICES 96 (International Conference on Evolva... [EVCO 5:1]Ian Frank, Bernard Manderick, Tetsuya HiguchiArticle1997-03-01
Recognizing Contextual Polarity: An Exploration of Features for Phrase-Level Sen... [COLI 35:3]Theresa Wilson, Janyce Wiebe, Paul HoffmannArticle2009-09-01
Recursive Finite Newton Algorithm for Support Vector Regression in the Primal [NECO 19:4]Liefeng Bo, Ling Wang, Licheng JiaoArticle2007-04-01
Reducing the Variability of Neural Responses: A Computational Theory of Spike-Ti... [NECO 19:2]Sander M. Bohte, Michael C. MozerArticle2007-02-01
Redundancy Reduction as a Strategy for Unsupervised Learning [NECO 5:2]A. Norman RedlichArticle1993-03-01
Refining PID Controllers Using Neural Networks [NECO 4:5]Gary M. Scott, Jude W. Shavlik, W. Harmon RayArticle1992-09-01
Regularization in the Selection of Radial Basis Function Centers [NECO 7:3]Mark J. L. OrrArticle1995-05-01
Regularization Theory and Neural Networks Architectures [NECO 7:2]Federico Girosi, Michael Jones, Tomaso PoggioArticle1995-03-01
Reinforcement Learning State Estimator [NECO 19:3]Jun Morimoto, Kenji DoyaArticle2007-03-01
Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Pla... [NECO 19:6]Răzvan V. FlorianArticle2007-06-01
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule [NECO 19:8]Dorit Baras, Ron MeirArticle2007-08-01
Reliable ReasoningGilbert Harman, Sanjeev KulkarniBook2007-08-15
Re-structuring, Re-labeling, and Re-aligning for Syntax-Based Machine Translatio... [COLI 36:2]Wei Wang, Jonathan May, Kevin Knight, Daniel MarcuArticle2010-06-01
Rethinking InnatenessElizabeth Bates, Jeffrey Elman, Mark H. Johnson, Annette Karmiloff-Smith, Domenico Parisi, Kim PlunkettBook1997-11-28
Robot ShapingMarco Dorigo, Marco ColombettiBook1997-11-06
Robust Boosting Algorithm Against Mislabeling in Multiclass Problems [NECO 20:6]Takashi Takenouchi, Shinto Eguchi, Noboru Murata, Takafumi KanamoriArticle2008-06-01
Robust L1 Principal Component Analysis and Its Bayesian Variational Inference [NECO 20:2]Junbin GaoArticle2008-02-01
Robust Loss Functions for Boosting [NECO 19:8]Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru MurataArticle2007-08-01

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