995 search results - page 28 / 199 » Learning Useful Horn Approximations |
127
click to vote
ICML
1995
IEEE
16 years 4 months ago
1995
IEEE
The success ofreinforcement learninginpractical problems depends on the ability to combine function approximation with temporal di erence methods such as value iteration. Experime...
134
click to vote
ESANN
2003
15 years 5 months ago
2003
In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
125
Voted
GECCO
2006
Springer
15 years 7 months ago
2006
Springer
The learning classifier system XCS is an iterative rulelearning system that evolves rule structures based on gradient-based prediction and rule quality estimates. Besides classifi...
119
Voted
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
The Dirichlet compound multinomial (DCM) distribution, also called the multivariate Polya distribution, is a model for text documents that takes into account burstiness: the fact ...
132
Voted
EMNLP
2010
15 years 1 months ago
2010
We present a unified view of two state-of-theart non-projective dependency parsers, both approximate: the loopy belief propagation parser of Smith and Eisner (2008) and the relaxe...