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» Unsupervised feature selection using a neuro-fuzzy approach
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BIBE
2007
IEEE
127views Bioinformatics» more  BIBE 2007»
15 years 3 months ago
Gene Selection via Matrix Factorization
The recent development of microarray gene expression techniques have made it possible to offer phenotype classification of many diseases. However, in gene expression data analysis...
Fei Wang, Tao Li
DIS
2003
Springer
15 years 5 months ago
Prediction of Molecular Bioactivity for Drug Design Using a Decision Tree Algorithm
Abstract. A machine learning-based approach to the prediction of molecular bioactivity in new drugs is proposed. Two important aspects are considered for the task: feature subset s...
Sanghoon Lee, Jihoon Yang, Kyung-Whan Oh
EMNLP
2004
15 years 1 months ago
Trained Named Entity Recognition using Distributional Clusters
This work applies boosted wrapper induction (BWI), a machine learning algorithm for information extraction from semi-structured documents, to the problem of named entity recogniti...
Dayne Freitag
AVSS
2009
IEEE
15 years 6 months ago
Trajectory Association and Fusion across Partially Overlapping Cameras
We present a novel unsupervised inter-camera trajectory correspondence algorithm that does not require prior knowledge of the camera placement. The approach consists of three step...
Nadeem Anjum, Andrea Cavallaro
CORR
2002
Springer
95views Education» more  CORR 2002»
14 years 11 months ago
Unsupervised Learning of Morphology without Morphemes
The first morphological learner based upon the theory of Whole Word Morphology (Ford et al., 1997) is outlined, and preliminary evaluation results are presented. The program, Whol...
Sylvain Neuvel, Sean A. Fulop