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CEC
2009
IEEE
14 years 4 months ago
Structure learning and optimisation in a Markov-network based estimation of distribution algorithm
ā€”Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...
Alexander E. I. Brownlee, John A. W. McCall, Siddh...
CLEF
2011
Springer
12 years 9 months ago
Intrinsic Plagiarism Detection Using Character Trigram Distance Scores - Notebook for PAN at CLEF 2011
Abstract In this paper, we describe a novel approach to intrinsic plagiarism detection. Each suspicious document is divided into a series of consecutive, potentially overlapping ā€...
Mike Kestemont, Kim Luyckx, Walter Daelemans
PE
2006
Springer
145views Optimization» more  PE 2006»
13 years 9 months ago
Closed form solutions for mapping general distributions to quasi-minimal PH distributions
Approximating general distributions by phase-type (PH) distributions is a popular technique in stochastic analysis, since the Markovian property of PH distributions often allows a...
Takayuki Osogami, Mor Harchol-Balter
ACIVS
2006
Springer
14 years 1 months ago
Robust Analysis of Silhouettes by Morphological Size Distributions
We address the topic of real-time analysis and recognition of silhouettes. The method that we propose first produces object features obtained by a new type of morphological operato...
Olivier Barnich, Sébastien Jodogne, Marc Va...
NEUROSCIENCE
2001
Springer
14 years 2 months ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for speciļ¬cation and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar