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NIPS
2003
13 years 9 months ago
Learning to Find Pre-Images
We consider the problem of reconstructing patterns from a feature map. Learning algorithms using kernels to operate in a reproducing kernel Hilbert space (RKHS) express their solu...
Gökhan H. Bakir, Jason Weston, Bernhard Sch&o...
CEC
2005
IEEE
13 years 10 months ago
Co-evolutionary modular neural networks for automatic problem decomposition
Abstract- Decomposing a complex computational problem into sub-problems, which are computationally simpler to solve individually and which can be combined to produce a solution to ...
Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaoch...
TPDS
2002
80views more  TPDS 2002»
13 years 8 months ago
Performance Optimization Problem in Speculative Prefetching
Speculative prefetching has been proposed to improve the response time of network access. Previous studies in speculative prefetching focus on building and evaluating access models...
Nor Jaidi Tuah, Mohan Kumar, Svetha Venkatesh, Saj...
AIPS
2009
13 years 9 months ago
Ant Search Strategies For Planning Optimization
In this paper a planning framework based on Ant Colony Optimization techniques is presented. It is well known that finding optimal solutions to planning problems is a very hard co...
Marco Baioletti, Alfredo Milani, Valentina Poggion...
ATAL
2010
Springer
13 years 9 months ago
Asynchronous algorithms for approximate distributed constraint optimization with quality bounds
Distributed Constraint Optimization (DCOP) is a popular framework for cooperative multi-agent decision making. DCOP is NPhard, so an important line of work focuses on developing f...
Christopher Kiekintveld, Zhengyu Yin, Atul Kumar, ...