Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
Abstract. In this paper, we propose a cluster-based cumulative representation for cluster ensembles. Cluster labels are mapped to incrementally accumulated clusters, and a matching...
Abstract. After becoming a W3C Recommendation, OWL is becoming increasingly widely accepted and used. However most people still find it difficult to create and use OWL ontologies...
Hai Wang, Matthew Horridge, Alan L. Rector, Nick D...
Embedded software verification is an important verification problem that requires the ability to reason about the timed semantics of concurrent behaviors at a low level of atomic...
Abstract. We experimentally studied the effects of a eBay-style selfreporting reputation mechanism in an double-sided exchange economy in which participants have the option of not...