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» Predicting future object states using learned affordances
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ICML
1999
IEEE
16 years 16 days 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
15 years 1 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»
14 years 2 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
15 years 4 months 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»
15 years 6 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