ICANN
2001
Springer
13 years 9 months ago
2001
Springer
Abstract. It has remained an open question whether there exist product unit networks with constant depth that have superlinear VC dimension. In this paper we give an answer by cons...
ICANN
2001
Springer
13 years 9 months ago
2001
Springer
Sparse kernel regressors have become popular by applying the support vector method to regression problems. Although this approach has been shown to exhibit excellent generalization...
ICANN
2001
Springer
13 years 9 months ago
2001
Springer
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
ICANN
2001
Springer
13 years 9 months ago
2001
Springer
This paper studies the use of discrete-time recurrent neural networks for predicting the next symbol in a sequence. The focus is on online prediction, a task much harder than the c...
ICANN
2001
Springer
13 years 9 months ago
2001
Springer
ICANN
2001
Springer
13 years 9 months ago
2001
Springer
ICANN
2001
Springer
13 years 9 months ago
2001
Springer
In many practical engineering design problems, the form of objective function is not given explicitly in terms of design variables. Given the value of design variables, under this ...
ICANN
2001
Springer
13 years 9 months ago
2001
Springer
This paper proposes an on-line error detecting method for a manually annotated corpus using min-max modular (M3 ) neural networks. The basic idea of the method is to use guaranteed...
ICANN
2001
Springer
13 years 9 months ago
2001
Springer
Humans tend to group together related properties in order to understand complex phenomena. When modeling large problems with limited representational resources, it is important to...
ICANN
2001
Springer
13 years 9 months ago
2001
Springer
Unlike traditional reinforcement learning (RL), market-based RL is in principle applicable to worlds described by partially observable Markov Decision Processes (POMDPs), where an ...