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» Towards Using Fewer Features for Text Classification
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ECIR
2003
Springer
15 years 1 months ago
A Machine Learning Approach for the Curation of Biomedical Literature
In this paper, we present an automated text classification system for the classification of biomedical papers. This classification is based on whether there is experimental eviden...
Min Shi, David S. Edwin, Rakesh Menon, Lixiang She...
NIPS
2004
15 years 1 months ago
Worst-Case Analysis of Selective Sampling for Linear-Threshold Algorithms
We provide a worst-case analysis of selective sampling algorithms for learning linear threshold functions. The algorithms considered in this paper are Perceptron-like algorithms, ...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
ICIP
2009
IEEE
16 years 26 days ago
Shadow Edge Detection Using Geometric And Photometric Features
The detection of shadow and shading edges is a first step towards reducing the imaging effects that are caused by interactions of the light source with surfaces that are in the sc...
SMC
2007
IEEE
100views Control Systems» more  SMC 2007»
15 years 6 months ago
Text categorization based on the ratio of word frequency in each categories
— In the present paper, we consider the automatic text categorization as a series of information processing and propose a new classification technique called the Frequency Ratio ...
Makoto Suzuki, Shigeichi Hirasawa
ICONFERENCE
2011
14 years 6 months ago
Comparing values and sentiment using Mechanical Turk
Human values can help to explain people’s sentiment toward current events. In this experiment, we compare people’s values with their agreement or disagreement with paragraphs ...
Thomas Clay Templeton, Kenneth R. Fleischmann, Jor...