The bias-variance decomposition is a very useful and widely-used tool for understanding machine-learning algorithms. It was originally developed for squared loss. In recent years,...
It is widely accepted that the use of more compact representations than lookup tables is crucial to scaling reinforcement learning (RL) algorithms to real-world problems. Unfortun...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
: Proteins are flexible systems and commonly populate several functionally important states. To understand protein function, these states and their energies have to be identified...
Edda Kloppmann, G. Matthias Ullmann, Torsten Becke...
GeRoMeSuite is a generic model management system which provides several functions for managing complex data models, such as schema integration, definition and execution of schema ...
Christoph Quix, Sandra Geisler, David Kensche, Xia...
Abstract. The greater and greater quantity of services that are available over the web causes a growing attention to techniques that facilitate their reuse. A web service specific...
Matteo Baldoni, Cristina Baroglio, Alberto Martell...