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ICML
2005
IEEE
16 years 5 months ago
A general regression technique for learning transductions
The problem of learning a transduction, that is a string-to-string mapping, is a common problem arising in natural language processing and computational biology. Previous methods ...
Corinna Cortes, Mehryar Mohri, Jason Weston
ICML
2004
IEEE
16 years 5 months ago
Learning and evaluating classifiers under sample selection bias
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
Bianca Zadrozny
140
Voted
CBMS
2007
IEEE
15 years 11 months ago
Vicarious Learning and (Virtual) Case-Based Teaching in Health Science Education
This paper describes PATSy, an established interactive case-based system that provides students with access to virtual patients. PATSy has recently been extended by the addition o...
Richard Cox, Jianxiong Pang
ICDM
2006
IEEE
182views Data Mining» more  ICDM 2006»
15 years 10 months ago
Active Learning to Maximize Area Under the ROC Curve
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
Matt Culver, Kun Deng, Stephen D. Scott
SEMWEB
2005
Springer
15 years 10 months ago
Ontology Learning and Reasoning - Dealing with Uncertainty and Inconsistency
Ontology Learning from text aims at generating domain ontologies from textual resources by applying natural language processing and machine learning techniques. It is inherent in t...
Peter Haase, Johanna Völker