In the biological domain, to extract the newly discovered functional features from massive literature is a major challenging issue. To automatically annotate GeneRIF in a new lite...
This paper discusses the empirical evaluation of improving generalization performance of neural networks by systematic treatment of training and test failures. As a result of syst...
This paper proposes a new connectionist approach to numeric law discovery; i.e., neural networks (law-candidates) are trained by using a newly invented second-order learning algor...
Prioritized sweeping is a model-based reinforcement learning method that attempts to focus an agent’s limited computational resources to achieve a good estimate of the value of ...
Access to on-line information via the Web is exploding. Index and retrieval engines already start to integrate a huge variety of heterogeneous repositories. However, the heterogen...
Boris Chidlovskii, Uwe M. Borghoff, Pierre-Yves Ch...