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122
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ATAL
2008
Springer
15 years 5 months ago
On the usefulness of opponent modeling: the Kuhn Poker case study
The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...
Alessandro Lazaric, Mario Quaresimale, Marcello Re...
153
Voted
CF
2004
ACM
15 years 8 months ago
Modeling service-based multimedia content adaptation in pervasive computing
Pervasive computing applications allow users to access information from anywhere while traveling and using variety of devices. Heterogeneity and limitation of resources involved i...
Girma Berhe, Lionel Brunie, Jean-Marc Pierson
TMI
2002
248views more  TMI 2002»
15 years 3 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
125
Voted
MIDDLEWARE
2004
Springer
15 years 8 months ago
Mobile adaptive tasks guided by resource contracts
This paper proposes a way to realize the idea of calm computing by adding a dynamic task model into the pervasive computing environment. This task model contains information about...
Peter Rigole, Yolande Berbers, Tom Holvoet
160
Voted
RECOMB
2005
Springer
16 years 3 months ago
Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition
Abstract. Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e. segmenta...
Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanath...