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ML
2007
ACM
104views Machine Learning» more  ML 2007»
15 years 6 months ago
A general criterion and an algorithmic framework for learning in multi-agent systems
We offer a new formal criterion for agent-centric learning in multi-agent systems, that is, learning that maximizes one’s rewards in the presence of other agents who might also...
Rob Powers, Yoav Shoham, Thuc Vu
ML
2007
ACM
192views Machine Learning» more  ML 2007»
15 years 6 months ago
Annealing stochastic approximation Monte Carlo algorithm for neural network training
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
Faming Liang
TEC
2008
135views more  TEC 2008»
15 years 6 months ago
Evolving Output Codes for Multiclass Problems
In this paper, we propose an evolutionary approach to the design of output codes for multiclass pattern recognition problems. This approach has the advantage of taking into account...
Nicolás García-Pedrajas, Colin Fyfe
BIBM
2010
IEEE
277views Bioinformatics» more  BIBM 2010»
15 years 4 months ago
Accurate prediction of ATP-binding residues using sequence and sequence-derived structural descriptors
ATP is a ubiquitous nucleotide that provides energy for cellular activities, catalyzes chemical reactions, and is involved in cellular signaling. The knowledge of the ATPprotein in...
Ke Chen 0003, Marcin J. Mizianty, Lukasz A. Kurgan
IPPS
2010
IEEE
15 years 4 months ago
Highly scalable parallel sorting
Sorting is a commonly used process with a wide breadth of applications in the high performance computing field. Early research in parallel processing has provided us with comprehen...
Edgar Solomonik, Laxmikant V. Kalé