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» Using Text Classifiers for Numerical Classification
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TMI
2008
66views more  TMI 2008»
14 years 9 months ago
Feature Normalization via Expectation Maximization and Unsupervised Nonparametric Classification For M-FISH Chromosome Images
Multicolor fluorescence in situ hybridization (M-FISH) techniques provide color karyotyping that allows simultaneous analysis of numerical and structural abnormalities of whole hum...
Hyohoon Choi, Alan C. Bovik, Kenneth R. Castleman
ALT
2004
Springer
15 years 1 months ago
Applications of Regularized Least Squares to Classification Problems
Abstract. We present a survey of recent results concerning the theoretical and empirical performance of algorithms for learning regularized least-squares classifiers. The behavior ...
Nicolò Cesa-Bianchi
91
Voted
ICDIM
2009
IEEE
14 years 7 months ago
Are SentiWordNet scores suited for multi-domain sentiment classification?
Motivated by the numerous applications of analysing opinions in multi-domain scenarios, this paper studies the potential of a still rarely considered approach to the problem of mu...
Kerstin Denecke
WWW
2006
ACM
15 years 10 months ago
Large-scale text categorization by batch mode active learning
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu
155
Voted
ICARIS
2010
Springer
14 years 10 months ago
Biomedical Article Classification Using an Agent-Based Model of T-Cell Cross-Regulation
Abstract. We propose a novel bio-inspired solution for biomedical article classification. Our method draws from an existing model of T-cell cross-regulation in the vertebrate immun...
Alaa Abi-Haidar, Luis Mateus Rocha