KES
2004
Springer
13 years 10 months ago
2004
Springer
KES
2004
Springer
13 years 10 months ago
2004
Springer
A spline-based modification of the previously developed Neuro-Fuzzy Kolmogorov's Network (NFKN) is proposed. In order to improve the approximation accuracy, cubic B-splines ar...
KES
2004
Springer
13 years 10 months ago
2004
Springer
This paper reports an early result of an evaluation experiment of emotionally expressive characters for intercultural communication. The experiment was conducted as a series of dis...
KES
2004
Springer
13 years 10 months ago
2004
Springer
Recommendation systems often use association rules as main technique to discover useful links among the set of transactions, especially web usage data – historical user sessions....
KES
2004
Springer
13 years 10 months ago
2004
Springer
This paper presents a novel method for on-line coordination in multiagent reinforcement learning systems. In this method a reinforcement-learning agent learns to select its action ...
KES
2004
Springer
13 years 10 months ago
2004
Springer
Many different approaches for content-based image retrieval have been proposed in the literature. Successful approaches consider not only simple features like color, but also take ...
KES
2004
Springer
13 years 10 months ago
2004
Springer
We characterize the size and complexity of the mammalian cortices of human, macaque, cat, rat, and mouse. We map the cortical structure onto a Bayesian confidence propagating neura...
KES
2004
Springer
13 years 10 months ago
2004
Springer
In Simultaneous Localisation and Mapping (SLAM) the correspondence problem, specifically detecting cycles, is one of the most difficult challenges for an autonomous mobile robot. ...
KES
2004
Springer
13 years 10 months ago
2004
Springer
This paper describes Gallery, which is our under developing experimental system for supporting the management of personal digital knowledge repositories and which enables its users...
KES
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. We present a possibly great improvement while performing semisupervised learning tasks from training data sets when only a small fraction of the data pairs is labeled. In...