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NIPS
2007
15 years 8 months ago
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashi...
NIPS
2001
15 years 8 months ago
Model-Free Least-Squares Policy Iteration
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Michail G. Lagoudakis, Ronald Parr
CPHYSICS
2007
81views more  CPHYSICS 2007»
15 years 6 months ago
The ATLAS computing model: status, plans and future possibilities
The ATLAS Collaboration[1] has been preparing for Large Hadron Collider (LHC) running for more than 20 years. By summer of 2007 we expect the first colliding beams of protons and...
Shawn McKee
TSP
2011
170views more  TSP 2011»
15 years 1 months ago
Model Selection for Sinusoids in Noise: Statistical Analysis and a New Penalty Term
—Detection of the number of sinusoids embedded in noise is a fundamental problem in statistical signal processing. Most parametric methods minimize the sum of a data fit (likeli...
Boaz Nadler, Leonid Kontorovich
COMPSAC
2002
IEEE
15 years 11 months ago
A Unified Process Support Framework for Global Software Development
There is an increasing trend in global software development, where different parts of a software product are being developed in different organisations. The process aspect of such...
Jin Sa, Elena Maslova