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AUSDM
2007
Springer
173views Data Mining» more  AUSDM 2007»
14 years 1 months ago
The Use of Various Data Mining and Feature Selection Methods in the Analysis of a Population Survey Dataset
This paper reports the results of feature reduction in the analysis of a population based dataset for which there were no specific target variables. All attributes were assessed a...
Ellen Pitt, Richi Nayak
KDD
2000
ACM
97views Data Mining» more  KDD 2000»
13 years 11 months ago
Feature selection in unsupervised learning via evolutionary search
YongSeog Kim, W. Nick Street, Filippo Menczer
IDA
2001
Springer
14 years 3 hour ago
Self-Supervised Chinese Word Segmentation
Abstract. We propose a new unsupervised training method for acquiring probability models that accurately segment Chinese character sequences into words. By constructing a core lexi...
Fuchun Peng, Dale Schuurmans
COLING
2010
13 years 2 months ago
Active Deep Networks for Semi-Supervised Sentiment Classification
This paper presents a novel semisupervised learning algorithm called Active Deep Networks (ADN), to address the semi-supervised sentiment classification problem with active learni...
Shusen Zhou, Qingcai Chen, Xiaolong Wang