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ICML
2007
IEEE
16 years 7 months ago
Exponentiated gradient algorithms for log-linear structured prediction
Conditional log-linear models are a commonly used method for structured prediction. Efficient learning of parameters in these models is therefore an important problem. This paper ...
Amir Globerson, Terry Koo, Xavier Carreras, Michae...
ICML
2001
IEEE
16 years 7 months ago
Inducing Partially-Defined Instances with Evolutionary Algorithms
This paper addresses the issue of reducing the storage requirements on Instance-Based Learning algorithms. Algorithms proposed by other researches use heuristics to prune instance...
Josep Maria Garrell i Guiu, Xavier Llorà
ISNN
2007
Springer
16 years 13 days ago
Recurrent Fuzzy CMAC for Nonlinear System Modeling
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moren...
GEM
2008
15 years 7 months ago
Evaluating a Parallel Evolutionary Algorithm on the Chess Endgame Problem
Classifying the endgame positions in Chess can be challenging for humans and is known to be a difficult task in machine learning. An evolutionary algorithm would seem to be the ide...
Wayne Iba, Kelsey Marshman, Benjamin Fisk
NIPS
2008
15 years 7 months ago
Regularized Policy Iteration
In this paper we consider approximate policy-iteration-based reinforcement learning algorithms. In order to implement a flexible function approximation scheme we propose the use o...
Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csab...