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ICPR
2008
IEEE
14 years 2 months ago
Semi-supervised discriminant analysis based on UDP regularization
We propose a semi-supervised learning algorithm for discriminant analysis, which uses the geometric structure of both labeled and unlabeled samples and perform a manifold regulari...
Huining Qiu, Jian-Huang Lai, Jian Huang, Yu Chen
KDD
1994
ACM
98views Data Mining» more  KDD 1994»
13 years 11 months ago
Rule Induction for Semantic Query Optimization
Semantic query optimization can dramatically speed up database query answering by knowledge intensive reformulation. But the problem of how to learn required semantic rules has no...
Chun-Nan Hsu, Craig A. Knoblock
ATAL
2003
Springer
13 years 11 months ago
Using web helper agent profiles in query generation
Personalized information agents can help overcome some of the limitations of communal Web information sources such as portals and search engines. Two important components of these...
Gabriel Somlo, Adele E. Howe
SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
14 years 2 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
JMLR
2006
109views more  JMLR 2006»
13 years 7 months ago
Some Discriminant-Based PAC Algorithms
A classical approach in multi-class pattern classification is the following. Estimate probability distributions that generated the observations for each label class, and then labe...
Paul W. Goldberg