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» An Exploration of the Permanent-Determinant Method
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ATAL
2009
Springer
16 years 1 months ago
Generalized model learning for reinforcement learning in factored domains
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Todd Hester, Peter Stone
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
15 years 10 months ago
How an optimal observer can collapse the search space
Many metaheuristics have difficulty exploring their search space comprehensively. Exploration time and efficiency are highly dependent on the size and the ruggedness of the search...
Christophe Philemotte, Hugues Bersini
VIS
2008
IEEE
161views Visualization» more  VIS 2008»
16 years 8 months ago
Brushing of Attribute Clouds for the Visualization of Multivariate Data
The visualization and exploration of multivariate data is still a challenging task. Methods either try to visualize all variables simultaneously at each position using glyph-based ...
Heike Jänicke, Michael Böttinger, Gerik Scheue...
ICCAD
2005
IEEE
97views Hardware» more  ICCAD 2005»
16 years 3 months ago
DiCER: distributed and cost-effective redundancy for variation tolerance
— Increasingly prominent variational effects impose imminent threat to the progress of VLSI technology. This work explores redundancy, which is a well-known fault tolerance techn...
Di Wu, Ganesh Venkataraman, Jiang Hu, Quiyang Li, ...
RECSYS
2009
ACM
16 years 1 months ago
FeedbackTrust: using feedback effects in trust-based recommendation systems
With the advent of online social networks, the trust-based approach to recommendation has emerged which exploits the trust network among users and makes recommendations based on t...
Samaneh Moghaddam, Mohsen Jamali, Martin Ester, Ja...