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» On learning algorithm selection for classification
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AIIA
2001
Springer
15 years 11 months ago
A Knowledge-Based Neurocomputing Approach to Extract Refined Linguistic Rules from Data
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
Giovanna Castellano, Anna Maria Fanelli
ICDM
2005
IEEE
163views Data Mining» more  ICDM 2005»
16 years 5 days ago
Efficient Text Classification by Weighted Proximal SVM
In this paper, we present an algorithm that can classify large-scale text data with high classification quality and fast training speed. Our method is based on a novel extension o...
Dong Zhuang, Benyu Zhang, Qiang Yang, Jun Yan, Zhe...
AI
2006
Springer
15 years 10 months ago
Beyond the Bag of Words: A Text Representation for Sentence Selection
Sentence selection shares some but not all the characteristics of Automatic Text Categorization. Therefore some but not all the same techniques should be used. In this paper we stu...
Maria Fernanda Caropreso, Stan Matwin
AAAI
2010
15 years 8 months ago
Efficient Spectral Feature Selection with Minimum Redundancy
Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and uns...
Zheng Zhao, Lei Wang, Huan Liu
KDD
2005
ACM
118views Data Mining» more  KDD 2005»
16 years 7 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler