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ICML
2006
IEEE
14 years 9 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
ICML
2005
IEEE
14 years 9 months ago
Proto-value functions: developmental reinforcement learning
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...
Sridhar Mahadevan
ICML
2005
IEEE
14 years 9 months ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty
SIGSOFT
2008
ACM
14 years 9 months ago
Effective blame for information-flow violations
Programs trusted with secure information should not release that information in ways contrary to system policy. However, when a program contains an illegal flow of information, cu...
Dave King 0002, Trent Jaeger, Somesh Jha, Sanjit A...
WWW
2005
ACM
14 years 9 months ago
Identifying link farm spam pages
With the increasing importance of search in guiding today's web traffic, more and more effort has been spent to create search engine spam. Since link analysis is one of the m...
Baoning Wu, Brian D. Davison