Sciweavers

217 search results - page 1 / 44
» On the Fine Structure of Large Search Spaces
Sort
View
ICTAI
1999
IEEE
13 years 9 months ago
On the Fine Structure of Large Search Spaces
Recently there has been significant progress in our understanding of the computational nature of combinatorial problems. Randomized search methods, both complete and incomplete, o...
Carla P. Gomes, Bart Selman
CVPR
2006
IEEE
14 years 6 months ago
A Design Principle for Coarse-to-Fine Classification
Coarse-to-fine classification is an efficient way of organizing object recognition in order to accommodate a large number of possible hypotheses and to systematically exploit shar...
Sachin Gangaputra, Donald Geman
CPE
1997
Springer
79views Hardware» more  CPE 1997»
13 years 9 months ago
Storage Alternatives for Large Structured State Spaces
We consider the problem of storing and searching a large state space obtained from a high-level model such as a queueing network or a Petri net. After reviewing the traditional te...
Gianfranco Ciardo, Andrew S. Miner
ANNS
2010
12 years 12 months ago
Search Space Restriction of Neuro-evolution through Constrained Modularization of Neural Networks
Evolving recurrent neural networks for behavior control of robots equipped with larger sets of sensors and actuators is difficult due to the large search spaces that come with the ...
Christian W. Rempis, Frank Pasemann
ICML
2005
IEEE
14 years 5 months ago
Learning as search optimization: approximate large margin methods for structured prediction
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
Daniel Marcu, Hal Daumé III