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UAI
2003
15 years 6 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...
NIPS
1998
15 years 5 months ago
Gradient Descent for General Reinforcement Learning
A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...
Leemon C. Baird III, Andrew W. Moore
156
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AAAI
1994
15 years 5 months ago
Auditory Stream Segregation in Auditory Scene Analysis with a Multi-Agent System
We propose a novel approach to auditory stream segregation which extracts individual sounds (auditory stream) from a mixture of sounds in auditory scene analysis. The HBSS (Harmon...
Tomohiro Nakatani, Hiroshi G. Okuno, Takeshi Kawab...
CIDR
2009
145views Algorithms» more  CIDR 2009»
15 years 5 months ago
Continuous Analytics: Rethinking Query Processing in a Network-Effect World
Modern data analysis applications driven by the Network Effect are pushing traditional database and data warehousing technologies beyond their limits due to their massively increa...
Michael J. Franklin, Sailesh Krishnamurthy, Neil C...
BIBE
2010
IEEE
135views Bioinformatics» more  BIBE 2010»
15 years 4 months ago
Finding Dynamic Modules of Biological Regulatory Networks
—Often groups of genes in regulatory networks, also called modules, work collaboratively on similar functions. Mathematically, the modules in a regulatory network has often been ...
Ferhat Ay, Thang N. Dinh, My T. Thai, Tamer Kahvec...