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COLT
2008
Springer
13 years 11 months ago
An Information Theoretic Framework for Multi-view Learning
In the multi-view learning paradigm, the input variable is partitioned into two different views X1 and X2 and there is a target variable Y of interest. The underlying assumption i...
Karthik Sridharan, Sham M. Kakade
NIPS
2008
13 years 11 months ago
Breaking Audio CAPTCHAs
CAPTCHAs are computer-generated tests that humans can pass but current computer systems cannot. CAPTCHAs provide a method for automatically distinguishing a human from a computer ...
Jennifer Tam, Jirí Simsa, Sean Hyde, Luis v...
AAAI
2006
13 years 11 months ago
Overcoming the Brittleness Bottleneck using Wikipedia: Enhancing Text Categorization with Encyclopedic Knowledge
When humans approach the task of text categorization, they interpret the specific wording of the document in the much larger context of their background knowledge and experience. ...
Evgeniy Gabrilovich, Shaul Markovitch
FLAIRS
2004
13 years 11 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
NIPS
2001
13 years 11 months ago
Improvisation and Learning
This article presents a 2-phase computational learning model and application. As a demonstration, a system has been built, called CHIME for Computer Human Interacting Musical Enti...
Judy A. Franklin