364 search results - page 41 / 73 » Regularization Learning of Neural Networks for Generalizatio... |
119
click to vote
UAI
2003
15 years 4 months ago
2003
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
147
Voted
NIPS
2000
15 years 4 months ago
2000
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
142
click to vote
ECAL
1999
Springer
15 years 7 months ago
1999
Springer
Abstract. This paper is concerned with arti cial evolution of neurocontrollers with adaptive synapses for autonomous mobile robots. The method consists of encoding on the genotype ...
124
Voted
NN
2008
Springer
15 years 2 months ago
2008
Springer
We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in ...
130
Voted
ESANN
2006
15 years 4 months ago
2006
It has been proposed that chaos can serve as a reservoir providing an infinite number of dynamical states [1, 2, 3, 4, 5]. These can be interpreted as different behaviors, search a...