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» Finding Structure in Reinforcement Learning
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99
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ICCAD
2009
IEEE
147views Hardware» more  ICCAD 2009»
14 years 7 months ago
SAT-based protein design
Computational protein design can be formulated as an optimization problem, where the objective is to identify the sequence of amino acids that minimizes the energy of a given prot...
Noah Ollikainen, Ellen Sentovich, Carlos Coelho, A...
ICADL
2003
Springer
140views Education» more  ICADL 2003»
15 years 2 months ago
LVS Digital Library Cluster with Fair Memory Utilization
A digital library system consists of LVS(Linux Virtual Server) operating with software clustering technology provides is designed on Linux environment. In the cluster of servers fa...
MinHwan Ok, Kyeongmo Kang, Myong-Soon Park
CVPR
2004
IEEE
15 years 11 months ago
A Graphical Model Framework for Coupling MRFs and Deformable Models
This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
78
Voted
VIS
2008
IEEE
161views Visualization» more  VIS 2008»
15 years 10 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...
MICAI
2005
Springer
15 years 3 months ago
Knowledge and Reasoning Supported by Cognitive Maps
A powerful and useful approach for modeling knowledge and qualitative reasoning is the Cognitive Map. The background of Cognitive Maps is the research about learning environments c...
Alejandro Peña Ayala, Humberto Sossa, Agust...