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IPPS
2007
IEEE
14 years 2 months ago
A Comparative Study of Parallel Metaheuristics for Protein Structure Prediction on the Computational Grid
A comparative study of parallel metaheuristics executed in grid environments is proposed, having as case study a genetic algorithm, a simulated annealing algorithm and a random se...
Alexandru-Adrian Tantar, Nouredine Melab, El-Ghaza...
ICML
2006
IEEE
14 years 9 months ago
A new approach to data driven clustering
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
Arik Azran, Zoubin Ghahramani
BMCBI
2010
150views more  BMCBI 2010»
13 years 8 months ago
Automatic structure classification of small proteins using random forest
Background: Random forest, an ensemble based supervised machine learning algorithm, is used to predict the SCOP structural classification for a target structure, based on the simi...
Pooja Jain, Jonathan D. Hirst
TCS
2010
13 years 6 months ago
Maximum likelihood analysis of algorithms and data structures
We present a new approach for an average-case analysis of algorithms and data structures that supports a non-uniform distribution of the inputs and is based on the maximum likelih...
Ulrich Laube, Markus E. Nebel
PPSN
2004
Springer
14 years 1 months ago
A Primer on the Evolution of Equivalence Classes of Bayesian-Network Structures
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
Jorge Muruzábal, Carlos Cotta