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» A Guided Monte Carlo Approach to Optimization Problems
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GECCO
1999
Springer
167views Optimization» more  GECCO 1999»
15 years 2 months ago
A Biologically Inspired Fitness Function for Robotic Grasping
This paper describes the innovative use of genetic programming (GP) to solve the grasp synthesis problem for multifingered robot hands. The goal of our algorithm is to select a Ò...
J. Jaime Fernandez, Ian D. Walker
ICAI
2004
14 years 11 months ago
Action Inhibition
An explicit exploration strategy is necessary in reinforcement learning (RL) to balance the need to reduce the uncertainty associated with the expected outcome of an action and the...
Myriam Abramson
WICOMM
2011
14 years 4 months ago
A pragmatic approach to area coverage in hybrid wireless sensor networks
Success of Wireless Sensor Networks (WSN) largely depends on whether the deployed network can provide desired area coverage with acceptable network lifetime. This paper seeks to a...
Nadeem Ahmed, Salil S. Kanhere, Sanjay Jha
SIGGRAPH
1997
ACM
15 years 2 months ago
Metropolis light transport
We present a new Monte Carlo method for solving the light transport problem, inspired by the Metropolis sampling method in computational physics. To render an image, we generate a...
Eric Veach, Leonidas J. Guibas
BMCBI
2005
122views more  BMCBI 2005»
14 years 9 months ago
Bayesian coestimation of phylogeny and sequence alignment
Background: Two central problems in computational biology are the determination of the alignment and phylogeny of a set of biological sequences. The traditional approach to this p...
Gerton Lunter, István Miklós, Alexei...