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IJCAI
2001
14 years 11 months ago
Active Learning for Class Probability Estimation and Ranking
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...
Maytal Saar-Tsechansky, Foster J. Provost
92
Voted
ML
2000
ACM
157views Machine Learning» more  ML 2000»
14 years 10 months ago
A Multistrategy Approach to Classifier Learning from Time Series
We present an approach to inductive concept learning using multiple models for time series. Our objective is to improve the efficiency and accuracy of concept learning by decomposi...
William H. Hsu, Sylvian R. Ray, David C. Wilkins
CSREAEEE
2006
138views Business» more  CSREAEEE 2006»
14 years 11 months ago
An English-Chinese Learning System Using J2ME and Java Servlets
Mobile phones offer a variety of interesting and exciting applications. A mobile phone can be a communication device, an entertainment device, and a learning device. J2ME is a pop...
Chin-Chih Chang, Swapna Sunkara
38
Voted
ICPR
2008
IEEE
15 years 11 months ago
Semi-supervised learning on large complex simulations
Complex simulations can generate very large amounts of data stored disjointly across many local disks. Learning from this data can be problematic due to the difficulty of obtainin...
John Nicholas Korecki, Kevin W. Bowyer, Larry O. H...
ICML
2000
IEEE
15 years 11 months ago
Hierarchical Unsupervised Learning
We consider the problem of unsupervised classification of temporal sequences of facial expressions in video. This problem arises in the design of an adaptive visual agent, which m...
Shivakumar Vaithyanathan, Byron Dom