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137
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BMCBI
2010
109views more  BMCBI 2010»
15 years 5 months ago
Functional characterization and topological modularity of molecular interaction networks
Background: Analyzing interaction networks for functional characterization poses significant challenges arising from the noisy, incomplete, and generic nature of both the interact...
Jayesh Pandey, Mehmet Koyutürk, Ananth Grama
113
Voted
IROS
2006
IEEE
128views Robotics» more  IROS 2006»
15 years 11 months ago
Kinematic Design Optimization of an Actuated Carrier for the DLR Multi-Arm Surgical System
— In this paper, a generic approach to optimize the design of an actuated carrier for the DLR multi-arm surgical system is presented. The carrier is attached to the ceiling of th...
Rainer Konietschke, Tobias Ortmaier, Ulrich Hagn, ...
139
Voted
ATAL
2007
Springer
15 years 11 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
WEA
2004
Springer
120views Algorithms» more  WEA 2004»
15 years 10 months ago
An Improved Time-Sensitive Metaheuristic Framework for Combinatorial Optimization
We introduce a metaheuristic framework for combinatorial optimization. Our framework is similar to others (e.g. [1]) in that it is modular enough that important components can be i...
Vinhthuy T. Phan, Steven Skiena
153
Voted
ICMLC
2010
Springer
15 years 3 months ago
Optimization of bagging classifiers based on SBCB algorithm
: Bagging (Bootstrap Aggregating) has been proved to be a useful, effective and simple ensemble learning methodology. In generic bagging methods, all the classifiers which are trai...
Xiao-Dong Zeng, Sam Chao, Fai Wong