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ML
2002
ACM
246views Machine Learning» more  ML 2002»
15 years 6 months ago
Bayesian Clustering by Dynamics
This paper introduces a Bayesian method for clustering dynamic processes. The method models dynamics as Markov chains and then applies an agglomerative clustering procedure to disc...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
SPIN
2004
Springer
15 years 12 months ago
Explicit State Model Checking with Hopper
The Murϕ-based Hopper tool is a general purpose explicit model checker. Hopper leverages Murϕ’s class structure to implement new algorithms. Hopper differs from Murϕ in that i...
Michael Jones, Eric Mercer
AAAI
2008
15 years 8 months ago
Efficient Optimization of Information-Theoretic Exploration in SLAM
We present a novel method for information-theoretic exploration, leveraging recent work on mapping and localization. We describe exploration as the constrained optimization proble...
Thomas Kollar, Nicholas Roy
AUSAI
2008
Springer
15 years 8 months ago
Constraint-Based Multi-agent Path Planning
Planning collision-free paths for multiple robots traversing a shared space is a problem that grows combinatorially with the number of robots. The naive centralised approach soon ...
Malcolm Ryan
EVOW
2009
Springer
16 years 1 months ago
University Course Timetabling with Genetic Algorithm: A Laboratory Excercises Case Study
Abstract. This paper describes the application of a hybrid genetic algorithm to a real-world instance of the university course timetabling problem. We address the timetabling of la...
Zlatko Bratkovic, Tomislav Herman, Vjera Omrcen, M...