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» Towards Using Fewer Features for Text Classification
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KDD
2009
ACM
158views Data Mining» more  KDD 2009»
16 years 10 days ago
Feature shaping for linear SVM classifiers
: ? Feature Shaping for Linear SVM Classifiers George Forman, Martin Scholz, Shyamsundar Rajaram HP Laboratories HPL-2009-31R1 text classification machine learning, feature weighti...
George Forman, Martin Scholz, Shyamsundar Rajaram
ICARIS
2010
Springer
15 years 26 days 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
ICTAI
2007
IEEE
15 years 6 months ago
Dragon Toolkit: Incorporating Auto-Learned Semantic Knowledge into Large-Scale Text Retrieval and Mining
The majority of text retrieval and mining techniques are still based on exact feature (e.g. words) matching and unable to incorporate text semantics. Many researchers believe that...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
CEC
2007
IEEE
15 years 3 months ago
Evolution of classification rules for comprehensible knowledge discovery
This article, which lies within the data mining framework, proposes a method to build classifiers based on the evolution of rules. The method, named REC (Rule Evolution for Classif...
Emiliano Carreno, Guillermo Leguizamón, Nea...
ISCAS
2006
IEEE
90views Hardware» more  ISCAS 2006»
15 years 5 months ago
Quality-biased rate allocation for compound image coding with block classification
- In this paper, we propose a novel rate allocation method for compound image coding using Quality-biased Rate-Distortion Optimization (QRDO) technique to enhance visual quality. T...
Dong Liu, Wenpeng Ding, Yuwen He, Feng Wu