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AIPRF
2008
13 years 9 months ago
A Coherent and Heterogeneous Approach to Clustering
Despite outstanding successes of the state-of-the-art clustering algorithms, many of them still suffer from shortcomings. Mainly, these algorithms do not capture coherency and homo...
Arian Maleki, Nima Asgharbeygi
ECAI
2008
Springer
13 years 9 months ago
Multilingual Evidence Improves Clustering-based Taxonomy Extraction
We present a system for taxonomy extraction, aimed at providing a taxonomic backbone in an ontology learning environment. We follow previous research in using hierarchical clusteri...
Hans Hjelm, Paul Buitelaar
ICML
2007
IEEE
14 years 8 months ago
Multi-task reinforcement learning: a hierarchical Bayesian approach
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...
ICASSP
2010
IEEE
13 years 7 months ago
An adaptive initialization method for speaker Diarization based on prosodic features
The following article presents a novel, adaptive initialization scheme that can be applied to most state-of-the-art Speaker Diarization algorithms, i.e. algorithms that use agglom...
David Imseng, Gerald Friedland
FLAIRS
2008
13 years 10 months ago
ThomCat: A Bayesian Blackboard Model of Hierarchical Temporal Perception
We present a Bayesian blackboard system for temporal perception, applied to a minidomain task in musical scene analysis. It is similar to the classic Copycat architecture (Hofstad...
Charles W. Fox