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ALGORITHMICA
1999
84views more  ALGORITHMICA 1999»
13 years 7 months ago
Computational Approaches to Drug Design
Abstract. The rational approach to pharmaceutical drug design begins with an investigation of the relationship between chemical structure and biological activity. Information gaine...
Paul W. Finn, Lydia E. Kavraki
ISNN
2010
Springer
13 years 6 months ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He
ICRA
2010
IEEE
148views Robotics» more  ICRA 2010»
13 years 5 months ago
Global reachability and path planning for planetary exploration with montgolfiere balloons
Aerial vehicles are appealing systems for possible future exploration of planets and moons such as Venus and Titan, because they combine extensive coverage with highresolution data...
Lars Blackmore, Yoshiaki Kuwata, Michael T. Wolf, ...
NCA
2007
IEEE
14 years 2 months ago
Implementing Atomic Data through Indirect Learning in Dynamic Networks
Developing middleware services for dynamic distributed systems, e.g., ad-hoc networks, is a challenging task given that such services deal with dynamically changing membership and...
Kishori M. Konwar, Peter M. Musial, Nicolas C. Nic...
MA
2010
Springer
172views Communications» more  MA 2010»
13 years 6 months ago
On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
Vivekananda Roy, James P. Hobert