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IPPS
2006
IEEE
14 years 1 months ago
Parallelization of module network structure learning and performance tuning on SMP
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
Hongshan Jiang, Chunrong Lai, Wenguang Chen, Yuron...
AINA
2006
IEEE
14 years 1 months ago
Peer-to-Peer Usage Analysis: a Distributed Mining Approach
With the huge number of information sources available on the Internet, Peer-to-Peer (P2P) systems offer a novel kind of system architecture providing the large-scale community wit...
Florent Masseglia, Pascal Poncelet, Maguelonne Tei...
CORR
2010
Springer
178views Education» more  CORR 2010»
13 years 7 months ago
Automatic Recommendation for Online Users Using Web Usage Mining
A real world challenging task of the web master of an organization is to match the needs of user and keep their attention in their web site. So, only option is to capture the intu...
Dipa Dixit, Jayant Gadge
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
14 years 27 days ago
Incorporating prior knowledge with weighted margin support vector machines
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
Xiaoyun Wu, Rohini K. Srihari
PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
13 years 5 months ago
Complexity Bounds for Batch Active Learning in Classification
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
Philippe Rolet, Olivier Teytaud