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» Training of Classifiers Using Virtual Samples Only
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KDD
2002
ACM
108views Data Mining» more  KDD 2002»
14 years 9 months ago
Incremental Machine Learning to Reduce Biochemistry Lab Costs in the Search for Drug Discovery
This paper promotes the use of supervised machine learning in laboratory settings where chemists have a large number of samples to test for some property, and are interested in id...
George Forman
ICPR
2010
IEEE
13 years 7 months ago
A Practical Heterogeneous Classifier for Relational Databases
Most enterprise data is distributed in multiple relational databases with expert-designed schema. Using traditional single-table machine learning techniques over such data not onl...
Geetha Manjunath, M. Narasimha Murty, Dinkar Sitar...
PRESENCE
2006
104views more  PRESENCE 2006»
13 years 9 months ago
Physically Realistic Virtual Surgery Using the Point-Associated Finite Field (PAFF) Approach
The generation of multimodal virtual environments for surgical training is complicated by the necessity to develop heterogeneous simulation scenarios such as surgical incision, ca...
Suvranu De, Yi-Je Lim, Manivannan Muniyandi, Manda...
ICASSP
2011
IEEE
13 years 23 days ago
A nativeness classifier for TED Talks
This paper presents a nativeness classifier for English. The detector was developed and tested with TED Talks collected from the web, where the major non-native cues are in terms...
Jose Lopes, Isabel Trancoso, Alberto Abad
NIPS
2001
13 years 10 months ago
Algorithmic Luckiness
Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
Ralf Herbrich, Robert C. Williamson