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CORR
2010
Springer
152views Education» more  CORR 2010»
14 years 9 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
CSCW
2010
ACM
15 years 6 months ago
Are you having difficulty?
It would be useful if software engineers/instructors could be aware that remote team members/students are having difficulty with their programming tasks. We have developed an appr...
Jason Carter, Prasun Dewan
CORR
2008
Springer
96views Education» more  CORR 2008»
14 years 9 months ago
Improved Approximations for Multiprocessor Scheduling Under Uncertainty
This paper presents improved approximation algorithms for the problem of multiprocessor scheduling under uncertainty (SUU), in which the execution of each job may fail probabilist...
Christopher Y. Crutchfield, Zoran Dzunic, Jeremy T...
JMLR
2006
93views more  JMLR 2006»
14 years 9 months ago
An Efficient Implementation of an Active Set Method for SVMs
We propose an active set algorithm to solve the convex quadratic programming (QP) problem which is the core of the support vector machine (SVM) training. The underlying method is ...
Katya Scheinberg
C5
2008
IEEE
15 years 3 months ago
Remote Opportunities: A Rethinking and Retooling
Introducing technology as a sustainable means of creating, connecting, and collaborating introduces the need to carefully consider subtle aspects of deployment strategies and supp...
Yagiz Onat Yazir, Katherine Gunion, Christopher Pe...