3051 search results - page 182 / 611 » Learning Internal Representations |
178
Voted
GECCO
2011
Springer
14 years 7 months ago
2011
Springer
—A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to Neural Networks, and more recently Dynamical ...
90
Voted
ANLP
2000
15 years 5 months ago
2000
The eventual goal of a language model is to accurately predict the value of a missing word given its context. We present an approach to word prediction that is based on learning a...
143
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
134
Voted
ESA
2006
Springer
15 years 7 months ago
2006
Springer
Much recent work in the theoretical computer science, linear algebra, and machine learning has considered matrix decompositions of the following form: given an m
134
Voted
NN
2006
Springer
15 years 3 months ago
2006
Springer
This review considers the theoretical problems facing agents that must learn and choose on the basis of reward or reinforcement that is uncertain or delayed, in implicit or proced...