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» Predicting future object states using learned affordances
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ICML
1999
IEEE
14 years 8 months ago
Least-Squares Temporal Difference Learning
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
Justin A. Boyan
IM
2007
13 years 9 months ago
Business-Driven Optimization of Policy-Based Management solutions
— We consider whether the off-line compilation of a set of Service Level Agreements (SLAs) into low-level management policies can lead to the runtime maximization of the overall ...
Issam Aib, Raouf Boutaba
SDM
2011
SIAM
232views Data Mining» more  SDM 2011»
12 years 10 months ago
A Sequential Dual Method for Structural SVMs
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
Shirish Krishnaj Shevade, Balamurugan P., S. Sunda...
ICSE
2010
IEEE-ACM
14 years 17 days ago
An eclectic approach for change impact analysis
Change impact analysis aims at identifying software artifacts being affected by a change. In the past, this problem has been addressed by approaches relying on static, dynamic, a...
Michele Ceccarelli, Luigi Cerulo, Gerardo Canfora,...
IROS
2009
IEEE
145views Robotics» more  IROS 2009»
14 years 2 months ago
Action-related place-based mobile manipulation
— In mobile manipulation, the position to which the robot navigates has a large influence on the ease with which a subsequent manipulation action can be performed. Whether a man...
Freek Stulp, Andreas Fedrizzi, Michael Beetz