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ROBIO
2006
IEEE
129views Robotics» more  ROBIO 2006»
16 years 1 months ago
Learning Utility Surfaces for Movement Selection
— Humanoid robots are highly redundant systems with respect to the tasks they are asked to perform. This redundancy manifests itself in the number of degrees of freedom of the ro...
Matthew Howard, Michael Gienger, Christian Goerick...
WINE
2005
Springer
136views Economy» more  WINE 2005»
16 years 17 days ago
Click Fraud Resistant Methods for Learning Click-Through Rates
Abstract. In pay-per-click online advertising systems like Google, Overture, or MSN, advertisers are charged for their ads only when a user clicks on the ad. While these systems ha...
Nicole Immorlica, Kamal Jain, Mohammad Mahdian, Ku...
ATAL
2004
Springer
16 years 15 days ago
Resource Allocation in the Grid Using Reinforcement Learning
One of the main challenges in Grid computing is efficient allocation of resources (CPU-hours, network bandwidth, etc.) to the tasks submitted by users. Due to the lack of centrali...
Aram Galstyan, Karl Czajkowski, Kristina Lerman
EAGC
2004
Springer
16 years 15 days ago
A Grid Service Framework for Metadata Management in Self-e-Learning Networks
Metadata management is critical for Grid systems. More specifically, semantically meaningful resource descriptions constitute a highly beneficial extension to Grid environments t...
George Samaras, Kyriakos Karenos, Eleni Christodou...
ILP
2004
Springer
16 years 14 days ago
Learning an Approximation to Inductive Logic Programming Clause Evaluation
One challenge faced by many Inductive Logic Programming (ILP) systems is poor scalability to problems with large search spaces and many examples. Randomized search methods such as ...
Frank DiMaio, Jude W. Shavlik