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» Efficient Distribution Mining and Classification
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ICML
2005
IEEE
16 years 4 months ago
Propagating distributions on a hypergraph by dual information regularization
In the information regularization framework by Corduneanu and Jaakkola (2005), the distributions of labels are propagated on a hypergraph for semi-supervised learning. The learnin...
Koji Tsuda
132
Voted
CORR
2002
Springer
132views Education» more  CORR 2002»
15 years 3 months ago
Robust Feature Selection by Mutual Information Distributions
Mutual information is widely used in artificial intelligence, in a descriptive way, to measure the stochastic dependence of discrete random variables. In order to address question...
Marco Zaffalon, Marcus Hutter
140
Voted
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 3 months ago
Web usage mining based on probabilistic latent semantic analysis
The primary goal of Web usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of user sessions and discoveri...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
152
Voted
ICPR
2008
IEEE
16 years 4 months ago
A discrete-time parallel update algorithm for distributed learning
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
Christian Bauckhage, Tansu Alpcan
KDD
2001
ACM
359views Data Mining» more  KDD 2001»
16 years 3 months ago
Data mining techniques to improve forecast accuracy in airline business
Predictive models developed by applying Data Mining techniques are used to improve forecasting accuracy in the airline business. In order to maximize the revenue on a flight, the ...
Christoph Hueglin, Francesco Vannotti