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ECML
2006
Springer
13 years 11 months ago
A Selective Sampling Strategy for Label Ranking
Abstract. We propose a novel active learning strategy based on the compression framework of [9] for label ranking functions which, given an input instance, predict a total order ov...
Massih-Reza Amini, Nicolas Usunier, Françoi...
NN
2008
Springer
143views Neural Networks» more  NN 2008»
13 years 7 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
ICML
2007
IEEE
14 years 8 months ago
An integrated approach to feature invention and model construction for drug activity prediction
We present a new machine learning approach for 3D-QSAR, the task of predicting binding affinities of molecules to target proteins based on 3D structure. Our approach predicts bind...
David Page, Jesse Davis, Soumya Ray, Vítor ...
IUI
2005
ACM
14 years 1 months ago
Automated email activity management: an unsupervised learning approach
Many structured activities are managed by email. For instance, a consumer purchasing an item from an e-commerce vendor may receive a message confirming the order, a warning of a ...
Nicholas Kushmerick, Tessa A. Lau
CIBCB
2009
IEEE
13 years 8 months ago
Application of machine learning approaches on quantitative structure activity relationships
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...
Mariusz Butkiewicz, Ralf Mueller, Danilo Selic, Er...