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...
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. ...
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...
—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...
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...