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» Using Prior Knowledge to Improve Distributed Hill Climbing
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IAT
2006
IEEE
13 years 10 months ago
Using Prior Knowledge to Improve Distributed Hill Climbing
The Distributed Probabilistic Protocol (DPP) is a new, approximate algorithm for solving Distributed Constraint Satisfaction Problems (DCSPs) that exploits prior knowledge to impr...
Roger Mailler
APIN
2007
118views more  APIN 2007»
13 years 4 months ago
Using genetic algorithms to reorganize superpeer structure in peer to peer networks
In this thesis, we describe a genetic algorithm for optimizing the superpeer structure of semantic peer to peer networks. Peer to peer, also called P2P, networks enable us to sear...
Jaymin Kessler, Khaled Rasheed, Ismailcem Budak Ar...
AAAI
2000
13 years 6 months ago
Coordination for Multi-Robot Exploration and Mapping
This paper addresses the problem of exploration and mapping of an unknown environment by multiple robots. The mapping algorithm is an on-line approach to likelihood maximization t...
Reid G. Simmons, David Apfelbaum, Wolfram Burgard,...
ICRA
2009
IEEE
211views Robotics» more  ICRA 2009»
13 years 11 months ago
Climbing rough vertical surfaces with hierarchical directional adhesion
— Prior research in biology and mechanics has shown the importance of hierarchy to the performance of dry adhesive systems on rough surfaces. The gecko utilizes several levels of...
Alan T. Asbeck, Sanjay Dastoor, Aaron Parness, Lau...
EDM
2010
113views Data Mining» more  EDM 2010»
13 years 6 months ago
Using multiple Dirichlet distributions to improve parameter plausibility
Predictive accuracy and parameter plausibility are two major desired aspects for a student modeling approach. Knowledge tracing, the most commonly used approach, suffers from local...
Yue Gong, Joseph E. Beck, Neil T. Heffernan