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DSMML
2004
Springer
15 years 5 months ago
Integrating Binding Site Predictions Using Non-linear Classification Methods
Yi Sun, Mark Robinson, Rod Adams, Paul Kaye, Alist...
ACL
2010
14 years 9 months ago
Learning Better Data Representation Using Inference-Driven Metric Learning
We initiate a study comparing effectiveness of the transformed spaces learned by recently proposed supervised, and semisupervised metric learning algorithms to those generated by ...
Paramveer S. Dhillon, Partha Pratim Talukdar, Koby...
IJCNN
2000
IEEE
15 years 4 months ago
Incremental Active Learning with Bias Reduction
The problem of designing input signals for optimal generalization in supervised learning is called active learning. In many active learning methods devised so far, the bias of the...
Masashi Sugiyama, Hidemitsu Ogawa
ITS
2004
Springer
123views Multimedia» more  ITS 2004»
15 years 5 months ago
Combining Heuristics and Formal Methods in a Tool for Supporting Simulation-Based Discovery Learning
Abstract. This paper describes the design of a tool to support learners in simulation-based discovery learning environments. The design redesigns and extents a previous tool to ove...
Koen Veermans, Wouter R. van Joolingen
ML
1998
ACM
102views Machine Learning» more  ML 1998»
14 years 11 months ago
Statistical Mechanics of Online Learning of Drifting Concepts: A Variational Approach
We review the application of statistical mechanics methods to the study of online learning of a drifting concept in the limit of large systems. The model where a feed-forward netwo...
Renato Vicente, Osame Kinouchi, Nestor Caticha