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CVPR
2011
IEEE
15 years 4 months ago
Dynamic Batch Mode Active Learning
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
Shayok Chakraborty, Vineeth Balasubramanian, Sethu...
IAT
2007
IEEE
16 years 1 months ago
A Hybrid of Inference and Local Search for Distributed Combinatorial Optimization
We present a new hybrid algorithm for local search in distributed combinatorial optimization. This method is a mix between classical local search methods in which nodes take decis...
Adrian Petcu, Boi Faltings
AMC
2007
129views more  AMC 2007»
15 years 7 months ago
Multi-objective task allocation in distributed computing systems by hybrid particle swarm optimization
In a distributed computing system (DCS), we need to allocate a number of modules to different processors for execution. It is desired to maximize the processor synergism in order...
Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang, Yi-Te...
BC
2010
85views more  BC 2010»
15 years 4 months ago
Controlling precise movement with stochastic signals
In a noisy system, such as the nervous system, can movements be precisely controlled as experimentally demonstrated? We point out that the existing theory of motor control fails to...
Enrico Rossoni, Jing Kang, Jianfeng Feng
AIPS
2006
15 years 8 months ago
Planning for PDDL3 - An OCSP Based Approach
Recent research in AI Planning is focused on improving the quality of the generated plans. PDDL3 incorporates hard and soft constraints on goals and the plan trajectory. Plan traj...
Bharat Ranjan Kavuluri, Naresh Babu Saladi, Deepak...