Bayesian networks are indispensable for determining the probability of events which are influenced by various components. Bayesian probabilities encode degrees of belief about ce...
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Since conventional historical records have been written assuming human readers, they are not well-suited for computers to collect and process automatically. If computers could und...
Katsuko T. Nakahira, Masashi Matsui, Yoshiki Mikam...
Abstract--Knowledge is attributed to human whose problemsolving behavior is subjective and complex. In today's knowledge economy, the need to manage knowledge produced by a co...
Gene and protein structural and functional annotations expressed through controlled terminologies and ontologies are paramount especially for the aim of inferring new biomedical k...