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LREC
2010
165views Education» more  LREC 2010»
14 years 11 months ago
Maximum Entropy Classifier Ensembling using Genetic Algorithm for NER in Bengali
In this paper, we propose classifier ensemble selection for Named Entity Recognition (NER) as a single objective optimization problem. Thereafter, we develop a method based on gen...
Asif Ekbal, Sriparna Saha
BMCBI
2010
154views more  BMCBI 2010»
14 years 10 months ago
Binary image representation of a ligand binding site: its application to efficient sampling of a conformational ensemble
Background: Modelling the ligand binding site of a protein is an important component of understanding proteinligand interactions and is being actively studied. Even if the side ch...
Edon Sung, Sangsoo Kim, Whanchul Shin
92
Voted
ML
2000
ACM
157views Machine Learning» more  ML 2000»
14 years 10 months ago
A Multistrategy Approach to Classifier Learning from Time Series
We present an approach to inductive concept learning using multiple models for time series. Our objective is to improve the efficiency and accuracy of concept learning by decomposi...
William H. Hsu, Sylvian R. Ray, David C. Wilkins
100
Voted
ENGL
2007
101views more  ENGL 2007»
14 years 10 months ago
Multiresolution Knowledge Mining using Wavelet Transform
— Most research in Knowledge Mining deal with the basic models like clustering, classification, regression, association rule mining and so on. In the process of quest for knowled...
R. Pradeep Kumar, P. Nagabhushan
BMCBI
2005
147views more  BMCBI 2005»
14 years 10 months ago
GATA: a graphic alignment tool for comparative sequence analysis
Background: Several problems exist with current methods used to align DNA sequences for comparative sequence analysis. Most dynamic programming algorithms assume that conserved se...
David A. Nix, Michael B. Eisen