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122
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ICDM
2006
IEEE
182views Data Mining» more  ICDM 2006»
15 years 9 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
136
Voted
LSO
2004
Springer
15 years 9 months ago
Tool Support for Inter-team Learning in Agile Software Organizations
The need for organizational learning support is common among all software development companies but is not addressed by agile software methods practitioners. The typical Experience...
Thomas Chau, Frank Maurer
162
Voted
COLT
1998
Springer
15 years 8 months ago
Learning One-Variable Pattern Languages in Linear Average Time
A new algorithm for learning one-variable pattern languages is proposed and analyzed with respect to its average-case behavior. We consider the total learning time that takes into...
Rüdiger Reischuk, Thomas Zeugmann
133
Voted
AAAI
2007
15 years 6 months ago
Mapping and Revising Markov Logic Networks for Transfer Learning
Transfer learning addresses the problem of how to leverage knowledge acquired in a source domain to improve the accuracy and speed of learning in a related target domain. This pap...
Lilyana Mihalkova, Tuyen N. Huynh, Raymond J. Moon...
157
Voted
IADIS
2008
15 years 5 months ago
Semantic Learning Content Management System
Building semantics concepts into the learning tools and utilities will open the road for the next generation of the Learning Content Management System (LCMS). We propose here to n...
Radu Balog-Crisan, Ioan Roxin