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» Data Mining for Genetics: A Genetic Algorithm Approach
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144
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IICAI
2003
15 years 5 months ago
The Acyclic Bayesian Net Generator
Abstract. We present the Acyclic Bayesian Net Generator, a new approach to learn the structure of a Bayesian network using genetic algorithms. Due to the encoding mechanism, acycli...
Pankaj B. Gupta, Vicki H. Allan
161
Voted
ADC
2008
Springer
110views Database» more  ADC 2008»
15 years 10 months ago
Graph Mining based on a Data Partitioning Approach
Existing graph mining algorithms typically assume that the dataset can fit into main memory. As many large graph datasets cannot satisfy this condition, truly scalable graph minin...
Son N. Nguyen, Maria E. Orlowska, Xue Li
BIOCOMP
2006
15 years 5 months ago
Using Neural Nets to Estimate Evolutionary Parameters
- The rapid growth in the amount of molecular genetic data being collected will, in many cases, require the development of new analytic methods for the analysis of that data. In th...
Chi-Chiang Lee, Paul Marjoram
143
Voted
HIS
2008
15 years 5 months ago
Towards a Highly Scalable Hybrid Metaheuristic for Haplotype Inference Under Parsimony
Haplotype Inference is a challenging problem in bioinformatics that consists in inferring the basic genetic constitution of diploid organisms on the basis of their genotype. This ...
Stefano Benedettini, Luca Di Gaspero, Andrea Roli
CICLING
2005
Springer
15 years 9 months ago
Automatic Annotation of Corpora for Text Summarisation: A Comparative Study
This paper presents two methods which automatically produce annotated corpora for text summarisation on the basis of human abstracts. Both methods identify a set of sentences from ...
Constantin Orasan