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KDD
1995
ACM
135views Data Mining» more  KDD 1995»
15 years 1 months ago
Rough Sets Similarity-Based Learning from Databases
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
Xiaohua Hu, Nick Cercone
BMCBI
2008
163views more  BMCBI 2008»
14 years 10 months ago
Gene Ontology term overlap as a measure of gene functional similarity
Background: The availability of various high-throughput experimental and computational methods allows biologists to rapidly infer functional relationships between genes. It is oft...
Meeta Mistry, Paul Pavlidis
BMCBI
2008
170views more  BMCBI 2008»
14 years 10 months ago
Evaluation of GO-based functional similarity measures using S. cerevisiae protein interaction and expression profile data
Background: Researchers interested in analysing the expression patterns of functionally related genes usually hope to improve the accuracy of their results beyond the boundaries o...
Tao Xu, LinFang Du, Yan Zhou
ICPR
2002
IEEE
15 years 11 months ago
The Performance Analysis of a Chi-square Similarity Measure for Topic Related Clustering of Noisy Transcripts
The goal of the paper is to present a novel Chi-square similarity measure and assess its performance through comparison with well-known similarity measures such as Cosine, Dice, a...
Oktay Ibrahimov, Ishwar K. Sethi, Nevenka Dimitrov...
NAACL
2003
14 years 11 months ago
Frequency Estimates for Statistical Word Similarity Measures
Statistical measures of word similarity have application in many areas of natural language processing, such as language modeling and information retrieval. We report a comparative...
Egidio L. Terra, Charles L. A. Clarke