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118
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ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
15 years 11 months ago
Regression Learning Vector Quantization
— Learning Vector Quantization (LVQ) is a popular class of nearest prototype classifiers for multiclass classification. Learning algorithms from this family are widely used becau...
Mihajlo Grbovic, Slobodan Vucetic
136
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ICIAP
2005
ACM
16 years 4 months ago
Learning Intrusion Detection: Supervised or Unsupervised?
Abstract. Application and development of specialized machine learning techniques is gaining increasing attention in the intrusion detection community. A variety of learning techniq...
Pavel Laskov, Patrick Düssel, Christin Sch&au...
150
Voted
NIPS
1998
15 years 6 months ago
Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms
In this paper, we address two issues of long-standing interest in the reinforcement learning literature. First, what kinds of performance guarantees can be made for Q-learning aft...
Michael J. Kearns, Satinder P. Singh
143
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PAKDD
2000
ACM
128views Data Mining» more  PAKDD 2000»
15 years 8 months ago
A Comparative Study of Classification Based Personal E-mail Filtering
This paper addresses personal E-mail filtering by casting it in the framework of text classification. Modeled as semi-structured documents, Email messages consist of a set of field...
Yanlei Diao, Hongjun Lu, Dekai Wu
ECML
2006
Springer
15 years 8 months ago
Cost-Sensitive Learning of SVM for Ranking
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
Jun Xu, Yunbo Cao, Hang Li, Yalou Huang