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ESWA
2008
169views more  ESWA 2008»
15 years 6 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...
JCC
2008
99views more  JCC 2008»
15 years 5 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
ISNN
2010
Springer
15 years 5 months ago
MULP: A Multi-Layer Perceptron Application to Long-Term, Out-of-Sample Time Series Prediction
Abstract. A forecasting approach based on Multi-Layer Perceptron (MLP) Artificial Neural Networks (named by the authors MULP) is proposed for the NN5 111 time series long-term, out...
Eros Pasero, Giovanni Raimondo, Suela Ruffa
CVPR
2011
IEEE
15 years 3 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell
CDC
2010
IEEE
141views Control Systems» more  CDC 2010»
15 years 2 months ago
Achieving higher frequencies in large-scale nonlinear model predictive control
We present new insights into how to achieve higher frequencies in large-scale nonlinear predictive control using truncated-like schemes. The basic idea is that, instead of solving ...
Victor M. Zavala, Mihai Anitescu