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ML
2002
ACM
220views Machine Learning» more  ML 2002»
15 years 3 months ago
Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
Peter Sollich
ESWA
2008
169views more  ESWA 2008»
15 years 3 months ago
Predicting opponent's moves in electronic negotiations using neural networks
Electronic negotiation experiments provide a rich source of information about relationships between the negotiators, their individual actions, and the negotiation dynami...
Réal Carbonneau, Gregory E. Kersten, Rustam...
NAR
2007
91views more  NAR 2007»
15 years 3 months ago
RNABindR: a server for analyzing and predicting RNA-binding sites in proteins
Understanding interactions between proteins and RNA is key to deciphering the mechanisms of many important biological processes. Here we describe RNABindR, a web-based server that...
Michael Terribilini, Jeffry D. Sander, Jae-Hyung L...
152
Voted
JCC
2008
99views more  JCC 2008»
15 years 2 months ago
Assessment of programs for ligand binding affinity prediction
: The prediction of the binding free energy between a ligand and a protein is an important component in the virtual screening and lead optimization of ligands for drug discovery. T...
Ryangguk Kim, Jeffrey Skolnick
IEEECIT
2010
IEEE
15 years 2 months ago
Predictive and Dynamic Resource Allocation for Enterprise Applications
—Dynamic resource allocation has the potential to provide significant increases in total revenue in enterprise systems through the reallocation of available resources as the dem...
M. Al-Ghamdi, Adam P. Chester, Stephen A. Jarvis