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137
Voted
NIPS
2003
15 years 5 months ago
2003
Gradient-following learning methods can encounter problems of implementation in many applications, and stochastic variants are frequently used to overcome these difficulties. We ...
117
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
The Support Vector Machine (SVM) is an acknowledged powerful tool for building classifiers, but it lacks flexibility, in the sense that the kernel is chosen prior to learning. Mul...
135
Voted
PRICAI
2000
Springer
15 years 7 months ago
2000
Springer
Abstract. This paper reports our comparative evaluation of three machine learning methods on Chinese text categorization. Whereas a wide range of methods have been applied to Engli...
150
Voted
JCIT
2010
14 years 10 months ago
2010
With the development of telecom business, customer churn prediction becomes more and more important. An outstanding issue in customer churn prediction is high dimensional problem....
142
Voted
IJCAI
2007
15 years 5 months ago
2007
This paper proposes and develops a new graph-based semi-supervised learning method. Different from previous graph-based methods that are based on discriminative models, our method...