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» A Framework for Multiple-Instance Learning
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JMLR
2008
209views more  JMLR 2008»
15 years 6 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
JMLR
2008
148views more  JMLR 2008»
15 years 6 months ago
Linear-Time Computation of Similarity Measures for Sequential Data
Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...
Konrad Rieck, Pavel Laskov
JODS
2008
152views Data Mining» more  JODS 2008»
15 years 6 months ago
Deploying Semantic Web Services-Based Applications in the e-Government Domain
Joining up services in e-Government usually implies governmental agencies acting in concert without a central control regime. This requires to the sharing scattered and heterogeneo...
Alessio Gugliotta, John Domingue, Liliana Cabral, ...
JMLR
2006
113views more  JMLR 2006»
15 years 6 months ago
Generalized Bradley-Terry Models and Multi-Class Probability Estimates
The Bradley-Terry model for obtaining individual skill from paired comparisons has been popular in many areas. In machine learning, this model is related to multi-class probabilit...
Tzu-Kuo Huang, Ruby C. Weng, Chih-Jen Lin
ENVSOFT
2007
126views more  ENVSOFT 2007»
15 years 6 months ago
Uncertainty and precaution in environmental management: Insights from the UPEM conference
Communication across the science-policy interface is complicated by uncertainty and ignorance associated with predictions on which to base policies. The international symposium â€...
Jeroen P. van der Sluijs