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UAI
2003
15 years 2 months ago
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
Collaborative filtering (CF) and contentbased filtering (CBF) have widely been used in information filtering applications, both approaches having their individual strengths and...
Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying...
118
Voted
ESWA
2008
172views more  ESWA 2008»
15 years 26 days ago
DADICC: Intelligent system for anomaly detection in a combined cycle gas turbine plant
DADICC is the abbreviated name for an intelligent system able to detect on-line and diagnose anomalies as soon as possible in the dynamic evolution of the behaviour of a power pla...
Antonio L. Arranz Matía, Alberto Cruz, Migu...
148
Voted
JIIS
2002
141views more  JIIS 2002»
15 years 14 days ago
Combining Approximation Techniques and Vector Quantization for Adaptable Similarity Search
Adaptable similarity queries based on quadratic form distance functions are widely popular in data mining application domains including multimedia, CAD, molecular biology or medica...
Christian Böhm, Hans-Peter Kriegel, Thomas Se...
MICAI
2010
Springer
14 years 11 months ago
Combining Neural Networks Based on Dempster-Shafer Theory for Classifying Data with Imperfect Labels
This paper addresses the supervised learning in which the class membership of training data are subject to uncertainty. This problem is tackled in the framework of the Dempster-Sha...
Mahdi Tabassian, Reza Ghaderi, Reza Ebrahimpour
90
Voted
ACL
2010
14 years 11 months ago
Combining Orthogonal Monolingual and Multilingual Sources of Evidence for All Words WSD
Word Sense Disambiguation remains one of the most complex problems facing computational linguists to date. In this paper we present a system that combines evidence from a monoling...
Weiwei Guo, Mona Diab