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UAI
2003
13 years 10 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...
AROBOTS
2000
96views more  AROBOTS 2000»
13 years 8 months ago
Hierarchic Social Entropy: An Information Theoretic Measure of Robot Group Diversity
As research expands in multiagent intelligent systems, investigators need new tools for evaluating the artificial societies they study. It is impossible, for example, to correlate ...
Tucker R. Balch
CN
1999
103views more  CN 1999»
13 years 8 months ago
Topology Information Condensation in Hierarchical Networks
Inspired by the PNNI protocol of the ATM Forum, this work focuses on the problem of node aggregation within peer groups and link aggregation between peer groups. It is assumed tha...
Piet Van Mieghem
ICPR
2008
IEEE
14 years 3 months ago
Gene function prediction using protein domain probability and hierarchical Gene Ontology information
The Gene Ontology (GO) is a controlled vocabulary of terms to describe protein functions. It also includes a hierarchical description of the relationships among the terms in the f...
Jaehee Jung, Michael R. Thon
AIPS
2008
13 years 11 months ago
HiPPo: Hierarchical POMDPs for Planning Information Processing and Sensing Actions on a Robot
Flexible general purpose robots need to tailor their visual processing to their task, on the fly. We propose a new approach to this within a planning framework, where the goal is ...
Mohan Sridharan, Jeremy L. Wyatt, Richard Dearden