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ACL
1996
13 years 5 months ago
The Selection of the Most Probable Dependency Structure in Japanese Using Mutual Information
We use a statistical method to select the most probable structure or parse for a given sentence. It takes as input the dependency structures generated for the sentence by a depend...
Eduardo de Paiva Alves
GECCO
2003
Springer
13 years 8 months ago
The Structure of Evolutionary Exploration: On Crossover, Buildings Blocks, and Estimation-Of-Distribution Algorithms
Correlations between alleles after selection are an important source of information. Such correlations should be exploited for further search and thereby constitute the building bl...
Marc Toussaint
BMCBI
2008
166views more  BMCBI 2008»
13 years 3 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
GRC
2008
IEEE
13 years 4 months ago
Fuzzy Entropy based Max-Relevancy and Min-Redundancy Feature Selection
Feature selection is an important problem for pattern classification systems. Mutual information is a good indicator of relevance between variables, and has been used as a measure...
Shuang An, Qinghua Hu, Daren Yu
ALMOB
2007
155views more  ALMOB 2007»
13 years 3 months ago
Finding coevolving amino acid residues using row and column weighting of mutual information and multi-dimensional amino acid rep
Background: Some amino acid residues functionally interact with each other. This interaction will result in an evolutionary co-variation between these residues – coevolution. Ou...
Rodrigo Gouveia-Oliveira, Anders Gorm Pedersen