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ATAL
2006
Springer
15 years 10 months ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
BMCBI
2008
108views more  BMCBI 2008»
15 years 6 months ago
New application of intelligent agents in sporadic amyotrophic lateral sclerosis identifies unexpected specific genetic backgroun
Background: Few genetic factors predisposing to the sporadic form of amyotrophic lateral sclerosis (ALS) have been identified, but the pathology itself seems to be a true multifac...
Silvana Penco, Massimo Buscema, Maria Cristina Pat...
WSDM
2012
ACM
301views Data Mining» more  WSDM 2012»
14 years 1 months ago
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization
As massive repositories of real-time human commentary, social media platforms have arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis o...
Ankan Saha, Vikas Sindhwani
AVI
2010
15 years 7 months ago
A new weaving technique for handling overlapping regions
The use of transparencies is a common strategy in visual representations to guarantee the visibility of different overlapping graphical objects, especially, if no visibility-decid...
Martin Luboschik, Axel Radloff, Heidrun Schumann
CVPR
2011
IEEE
15 years 2 months ago
Non-Rigid Structure from Motion with Complementary Rank-3 Spaces
Non-rigid structure from motion (NR-SFM) is a difficult, underconstrained problem in computer vision. This paper proposes a new algorithm that revises the standard matrix factori...
Paulo Gotardo, Aleix Martinez