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AAAI
2011
13 years 10 months ago
Fast Newton-CG Method for Batch Learning of Conditional Random Fields
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...
WSC
2000
14 years 11 months ago
Modeling reality with simulation games for a cooperative learning
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...
João Rafael Galvão, Paulo Garcia Mar...
ML
2006
ACM
110views Machine Learning» more  ML 2006»
14 years 10 months ago
Distribution-based aggregation for relational learning with identifier attributes
Abstract Identifier attributes--very high-dimensional categorical attributes such as particular product ids or people's names--rarely are incorporated in statistical modeling....
Claudia Perlich, Foster J. Provost
CCE
2010
14 years 7 months ago
Combined mass and energy integration in process design at the example of membrane-based gas separation systems
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...
Martin Gassner, François Maréchal
CDC
2010
IEEE
182views Control Systems» more  CDC 2010»
14 years 5 months ago
Hierarchical model predictive control for resource distribution
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...