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ATAL
2010
Springer
15 years 6 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
171
Voted
BMCBI
2010
190views more  BMCBI 2010»
15 years 5 months ago
Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification alg
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
Yu Guo, Armin Graber, Robert N. McBurney, Raji Bal...
BMCBI
2004
265views more  BMCBI 2004»
15 years 5 months ago
ASAView: Database and tool for solvent accessibility representation in proteins
Background: Accessible surface area (ASA) or solvent accessibility of amino acids in a protein has important implications. Knowledge of surface residues helps in locating potentia...
Shandar Ahmad, M. Michael Gromiha, Hamed Fawareh, ...
CIKM
2011
Springer
14 years 5 months ago
Learning to aggregate vertical results into web search results
Aggregated search is the task of integrating results from potentially multiple specialized search services, or verticals, into the Web search results. The task requires predicting...
Jaime Arguello, Fernando Diaz, Jamie Callan
ICIP
2004
IEEE
16 years 6 months ago
Rate-distortion analysis of random access for compressed light fields
Image-based rendering data sets, such as light fields, require efficient compression due to their large data size, but also easy random access when rendering from the data set. Ef...
Prashant Ramanathan, Bernd Girod