283 search results - page 26 / 57 » Neural Learning from Unbalanced Data |
PAKDD
2000
ACM
15 years 5 months ago
2000
ACM
In order to discover relevant weights of neural networks, this paper proposes a novel method to learn a distinct squared penalty factor for each weight as a minimization problem ov...
92
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IJCAI
1997
15 years 3 months ago
1997
This paper proposes a new connectionist approach to numeric law discovery; i.e., neural networks (law-candidates) are trained by using a newly invented second-order learning algor...
95
Voted
ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
138
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ICANN
2003
Springer
15 years 7 months ago
2003
Springer
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it ex...
153
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NLPRS
2001
Springer
15 years 6 months ago
2001
Springer
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...