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TitleAuthorContent Typesort ascendingPub Date
Learning Tractable Word Alignment Models with Complex Constraints [COLI 36:3]João V. Graça, Kuzman Ganchev, Ben TaskarArticle2010-09-01
A Graph-Based Evolutionary Algorithm: Genetic Network Programming (GNP) and Its ... [EVCO 15:3]Shingo Mabu, Kotaro Hirasawa, Jinglu HuArticle2007-09-01
A Generic Multi-dimensional Feature Extraction Method Using Multiobjective Genet... [EVCO 17:1]Yang Zhang, Peter I. RockettArticle2009-03-01
Learning to Rank Answers to Non-Factoid Questions from Web Collections [COLI 37:2]Mihai Surdeanu, Massimiliano Ciaramita, Hugo ZaragozaArticle2011-06-01
Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposal... [EVCO 17:3]Salvador García, Francisco HerreraArticle2009-09-01
Annotating and Learning Event Durations in Text [COLI 37:4]Feng Pan, Rutu Mulkar-Mehta, Jerry R. HobbsArticle2011-12-01
Using Coverage as a Model Building Constraint in Learning Classifier Systems [EVCO 2:1]David Perry Greene, Stephen F. SmithArticle1994-03-01
Evolutionary Program Induction Directed by Logic Grammars [EVCO 5:2]Man Leung Wong, Kwong Sak LeungArticle1997-06-01
Multitask Visual Learning Using Genetic Programming [EVCO 16:4]Wojciech Jaśkowski, Krzysztof Krawiec, Bartosz WielochArticle2008-12-01
Performance and Efficiency of Memetic Pittsburgh Learning Classifier Systems [EVCO 17:3]Jaume Bacardit, Natalio KrasnogorArticle2009-09-01
Texture Segmentation by Genetic Programming [EVCO 16:4]Andy Song, Vic CiesielskiArticle2008-12-01
A Study of Structural and Parametric Learning in XCS [EVCO 14:1]Tim Kovacs, Manfred KerberArticle2006-03-01
Balancing Accuracy and Parsimony in Genetic Programming [EVCO 3:1]Byoung-Tak Zhang, Heinz MühlenbeinArticle1995-03-01
Adding Learning to the Cellular Development of Neural Networks: Evolution and th... [EVCO 1:3]Frédéric Gruau, Darrell WhitleyArticle1993-09-01
Modeling the Evolution of Motivation [EVCO 4:3]John Batali, William Noble GrundyArticle1996-09-01
Is a Learning Classifier System a Type of Neural Network? [EVCO 2:1]Robert E. Smith, H. Brown Cribbs IIIArticle1994-03-01
Memory Exploitation in Learning Classifier Systems [EVCO 2:3]Robert E. SmithArticle1994-09-01
How to Shift Bias: Lessons from the Baldwin Effect [EVCO 4:3]Peter TurneyArticle1996-09-01
Genetic and Non-Genetic Operators in ALECSYS [EVCO 1:2]Marco DorigoArticle1993-06-01
Recent Advances in Evolvable Systems-ICES 96 (International Conference on Evolva... [EVCO 5:1]Ian Frank, Bernard Manderick, Tetsuya HiguchiArticle1997-03-01
Discriminative Word Alignment by Linear Modeling [COLI 36:3]Yang Liu, Qun Liu, Shouxun LinArticle2010-09-01
Error and Deviance Processing in Implicit and Explicit Sequence Learning [JOCN 20:4]Nicola K. Ferdinand, Axel Mecklinger, Jutta KrayArticle2008-04-01
Noise-Induced Enhancement of Parameter Setting [LING 29:4]William J. TurkelArticle1998-10-01
Gradual Learning and Convergence [LING 39:2]Joe PaterArticle2008-04-01
Some Correct Error-Driven Versions of the Constraint Demotion Algorithm [LING 40:4]Paul BoersmaArticle2009-10-01
Learning Long-Distance Phonotactics [LING 41:4]Jeffrey HeinzArticle2010-10-01
A Proposal for More Powerful Learning Algorithms [NECO 1:2]Eric B. BaumArticle1989-06-01
A Possible Neural Mechanism for Computing Shape From Shading [NECO 1:2]Alex PentlandArticle1989-06-01
The Vapnik-Chervonenkis Dimension: Information versus Complexity in Learning [NECO 1:3]Yaser S. Abu-MostafaArticle1989-09-01
Asymptotic Convergence of Backpropagation [NECO 1:3]Gerald Tesauro, Yu He, Subutai AhmadArticle1989-09-01
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
Generalized Deformable Models, Statistical Physics, and Matching Problems [NECO 2:1]Alan L. YuilleArticle1990-03-01
VLSI Implementation of Neural Classifiers [NECO 2:1]Arun Rao, Mark R. Walker, Lawrence T. Clark, L. A. Akers, R. O. GrondinArticle1990-03-01
Visual Perception of Three-Dimensional Motion [NECO 2:2]David J. Heeger, Allan JepsonArticle1990-06-01
Distributed Symbolic Representation of Visual Shape [NECO 2:2]Eric SaundArticle1990-06-01
Generalizing Smoothness Constraints from Discrete Samples [NECO 2:2]Chuanyi Ji, Robert R. Snapp, Demetri PsaltisArticle1990-06-01
The Upstart Algorithm: A Method for Constructing and Training Feedforward Neural... [NECO 2:2]Marcus FreanArticle1990-06-01
The Perceptron Algorithm is Fast for Nonmalicious Distributions [NECO 2:2]Eric B. BaumArticle1990-06-01
The Bootstrap Widrow–Hoff Rule as a Cluster-Formation Algorithm [NECO 2:3]Geoffrey E. Hinton, Steven J. NowlanArticle1990-09-01
Exhaustive Learning [NECO 2:3]D. B. Schwartz, V. K. Samalam, Sara A. Solla, J. S. DenkerArticle1990-09-01
How to Solve the N Bit Encoder Problem with Just Two Hidden Units [NECO 2:4]Leonid KruglyakArticle1990-12-01
Active Perception and Reinforcement Learning [NECO 2:4]Steven D. Whitehead, Dana H. BallardArticle1990-12-01
Discovering the Structure of a Reactive Environment by Exploration [NECO 2:4]Michael C. Mozer, Jonathan BachrachArticle1990-12-01
Adaptive Mixtures of Local Experts [NECO 3:1]Robert A. Jacobs, Michael I. Jordan, Steven J. Nowlan, Geoffrey E. HintonArticle1991-03-01
Efficient Training of Artificial Neural Networks for Autonomous Navigation [NECO 3:1]Dean A. PomerleauArticle1991-03-01
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
A Practical Approach for Representing Context and for Performing Word Sense Disa... [NECO 3:3]Stephen I. GallantArticle1991-09-01
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

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