We study estimation of mixture models for problems in which multiple views of the instances are available. Examples of this setting include clustering web pages or research papers ...
Numerous domains ranging from distributed data acquisition to knowledge reuse need to solve the cluster ensemble problem of combining multiple clusterings into a single unified cl...
Modern distributed systems that have to avoid performance degradation and system overload require several runtime management decisions for load balancing and load sharing, overloa...
Relevance feedback is the state-of-the-art approach for adjusting query results to the needs of the users. This work extends the existing framework of image retrieval with relevan...
Euripides G. M. Petrakis, Klaydios Kontis, Epimeni...
The evaluation and assessment of physicians-in-training (house staff) is a complex task. Residency training programs are under increasing pressure [1] to provide accurate and comp...