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Titlesort ascendingAuthorContent TypePub Date
On the Convergence of the LMS Algorithm with Adaptive Learning Rate for Linear F... [NECO 3:2]Zhi-Quan LuoArticle1991-06-01
On Convergence Properties of the EM Algorithm for Gaussian Mixtures [NECO 8:1]Lei Xu, Michael I. JordanArticle1996-01-01
On an Unsupervised Learning Rule for Scalar Quantization following the Maximum E... [NECO 5:6]Marc M. Van Hulle, Dominique MartinezArticle1993-11-01
Note on the Maxnet Dynamics [NECO 8:3]John P. F. Sum, Peter K. S. TamArticle1996-04-01
A Nonlinear Hebbian Network that Learns to Detect Disparity in Random-Dot Stereo... [NECO 8:3]Christopher W. Lee, Bruno A. OlshausenArticle1996-04-01
Neurogammon Wins Computer Olympiad [NECO 1:3]Gerald TesauroArticle1989-09-01
Neurocomputational Perspective, APaul M. ChurchlandBook1992-04-22
Neural SmithingRussell Reed, Robert J MarksBook1999-03-26
Neural Networks and Natural IntelligenceStephen GrossbergBook1992-04-22
Neural Network Models of Perceptual Learning of Angle Discrimination [NECO 8:2]G. Mato, H. SompolinskyArticle1996-02-01
Neural Network Learning and Expert SystemsStephen I. GallantBook1991-10-17
Naturally Intelligent SystemsMaureen Caudill, Charles ButlerBook1992-09-08
Multilayer Perceptron Learning Optimized for On-Chip Implementation: A Noise-Rob... [NECO 4:3]Alan F. MurrayArticle1992-05-01
Modular Construction of Time-Delay Neural Networks for Speech Recognition [NECO 1:1]Alex WaibelArticle1989-03-01
Models of Bounded Rationality, Volume 3Herbert A. SimonBook1997-06-27
Mind within the Net, TheManfred SpitzerBook1999-03-12
MetareasoningMichael T. Cox, Anita RajaBook2011-03-31
Memory Exploitation in Learning Classifier Systems [EVCO 2:3]Robert E. SmithArticle1994-09-01
Measuring the VC-Dimension of a Learning Machine [NECO 6:5]Vladimir Vapnik, Esther Levin, Yann Le CunArticle1994-09-01
A Maximum Entropy Model of Phonotactics and Phonotactic Learning [LING 39:3]Bruce Hayes, Colin WilsonArticle2008-07-01
A Mathematical Analysis of the Effects of Hebbian Learning Rules on the Dynamics... [NECO 20:12]Benoît Siri, Hugues Berry, Bruno Cessac, Bruno Delord, Mathias QuoyArticle2008-12-01
Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear... [NECO 4:5]Ralph LinskerArticle1992-09-01
Local and Global Optimization Algorithms for Generalized Learning Automata [NECO 7:5]V. V. Phansalkar, M. A. L. ThathacharArticle1995-09-01
Local Algorithms for Pattern Recognition and Dependencies Estimation [NECO 5:6]V. Vapnik, L. BottouArticle1993-11-01
Learning to Generalize from Single Examples in the Dynamic Link Architecture [NECO 5:5]Wolfgang Konen, Christoph von der MalsburgArticle1993-09-01
Learning to Control Fast-Weight Memories: An Alternative to Dynamic Recurrent Ne... [NECO 4:1]Jürgen SchmidhuberArticle1992-01-01
Learning the Unlearnable [NECO 3:4]Dan Nabutovsky, Eytan DomanyArticle1991-12-01
Learning the Lie Groups of Visual Invariance [NECO 19:10]Xu Miao, Rajesh P. N. RaoArticle2007-10-01
Learning the Initial State of a Second-Order Recurrent Neural Network during Reg... [NECO 7:5]Mikel L. Forcada, Rafael C. CarrascoArticle1995-09-01
Learning Population Codes by Minimizing Description Length [NECO 7:3]Richard S. Zemel, Geoffrey E. HintonArticle1995-05-01
Learning Mixture Models of Spatial Coherence [NECO 5:2]Suzanna Becker, Geoffrey E. HintonArticle1993-03-01
Learning in the Recurrent Random Neural Network [NECO 5:1]Erol GelenbeArticle1993-01-01
Learning in Neural Networks with Material Synapses [NECO 6:5]Daniel J. Amit, Stefano FusiArticle1994-09-01
Learning Factorial Codes by Predictability Minimization [NECO 4:6]Jürgen SchmidhuberArticle1992-11-01
Learning Curves for Error Minimum and Maximum Likelihood Algorithms [NECO 4:5]Y. Kabashima, S. ShinomotoArticle1992-09-01
Learning Complex, Extended Sequences Using the Principle of History Compression [NECO 4:2]Jürgen SchmidhuberArticle1992-03-01
Learning and Generalization with Minimerror, A Temperature-Dependent Learning Al... [NECO 7:6]Bruno Raffin, Mirta B. GordonArticle1995-11-01
Learning and Generalization in Radial Basis Function Networks [NECO 7:5]J. A. S. Freeman, D. SaadArticle1995-09-01
Learning and Extracting Initial Mealy Automata with a Modular Neural Network Mod... [NECO 7:4]Peter Tiňo, Jozef ŠajdaArticle1995-07-01
A Learning Algorithm for Continually Running Fully Recurrent Neural Networks [NECO 1:2]Ronald J. Williams, David ZipserArticle1989-06-01
Knowledge-Based NeurocomputingIan Cloete, J M. ZuradaBook2000-02-25
Knowledge, Concepts, and CategoriesKoen Lamberts, David ShanksBook1997-10-31
Knowledge in ActionRaymond ReiterBook2001-09-01
Is a Learning Classifier System a Type of Neural Network? [EVCO 2:1]Robert E. Smith, H. Brown Cribbs IIIArticle1994-03-01
Introduction to the Special Issue [EVCO 2:1]Article1994-03-01
Introduction to Fuzzy Sets, AnWitold Pedrycz, Fernando GomideBook1998-04-10
Introducing Asymmetry into Interneuron Learning [NECO 7:6]Colin FyfeArticle1995-11-01
An Internal Mechanism for Detecting Parasite Attractors in a Hopfield Network [NECO 6:5]Jean-Dominique Gascuel, Bahram Moobed, Michel WeinfeldArticle1994-09-01
The Interchangeability of Learning Rate and Gain in Backpropagation Neural Netwo... [NECO 8:2]Georg Thimm, Perry Moerland, Emile FieslerArticle1996-02-01
Induction of Finite-State Languages Using Second-Order Recurrent Networks [NECO 4:3]Raymond L. Watrous, Gary M. KuhnArticle1992-05-01

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