We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...
Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Ok...
In this work we want to show the importance of visualization, interfaces and re-design techniques through 3D modeling, animations and VRML in the developing of the simulation game...
Abstract Identifier attributes--very high-dimensional categorical attributes such as particular product ids or people's names--rarely are incorporated in statistical modeling....
This paper presents an approach for combined mass and energy integration in process synthesis and illustrates it at the thermochemical production of crude synthetic natural gas (S...
This paper deals with hierarchical model predictive control (MPC) of distributed systems. A threelevel hierarchical approach is proposed, consisting of a high level MPC controller,...
Jan Dimon Bendtsen, Klaus Trangbaek, Jakob Stoustr...