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» Using Active Relocation to Aid Reinforcement Learning
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CVPR
2007
IEEE
15 years 1 months ago
Diverse Active Ranking for Multimedia Search
Interactively learning from a small sample of unlabeled examples is an enormously challenging task, one that often arises in vision applications. Relevance feedback and more recen...
ShyamSundar Rajaram, Charlie K. Dagli, Nemanja Pet...
CAINE
2008
14 years 11 months ago
Scripted Artificially Intelligent Basic Online Tactical Simulation
For many years, introductory Computer Science courses have followed the same teaching paradigms. These paradigms utilize only simple console windows; more interactive approaches t...
Jesse D. Phillips, Roger V. Hoang, Joseph D. Mahsm...
SDM
2004
SIAM
225views Data Mining» more  SDM 2004»
14 years 11 months ago
Active Semi-Supervision for Pairwise Constrained Clustering
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
Sugato Basu, Arindam Banerjee, Raymond J. Mooney
PERCOM
2005
ACM
15 years 9 months ago
Modeling Context-Aware e-Learning Scenarios
In the last decade, e-learning has been introduced to a variety of blended learning scenarios, such as life-long learning, University lectures, and game-based learning. In all the...
Michael Derntl, Karin Anna Hummel
ICINCO
2004
165views Robotics» more  ICINCO 2004»
14 years 11 months ago
Active Sensing Strategies for Robotic Platforms, with an Application in Vision-Based Gripping
: We present a vision-based robotic system which uses a combination of several active sensing strategies to grip a free-standing small target object with an initially unknown posit...
Benjamin Deutsch, Frank Deinzer, Matthias Zobel, J...