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AAAI
1998
13 years 9 months ago
Fast Probabilistic Modeling for Combinatorial Optimization
Probabilistic models have recently been utilized for the optimization of large combinatorial search problems. However, complex probabilistic models that attempt to capture interpa...
Shumeet Baluja, Scott Davies
INFOCOM
2010
IEEE
13 years 6 months ago
Optimal SINR-based Random Access
— Random access protocols, such as Aloha, are commonly modeled in wireless ad-hoc networks by using the protocol model. However, it is well-known that the protocol model is not a...
Amir Hamed Mohsenian Rad, Vincent W. S. Wong, Robe...
IJAIT
2002
81views more  IJAIT 2002»
13 years 7 months ago
Guiding Constructive Search with Statistical Instance-Based Learning
Several real world applications involve solving combinatorial optimization problems. Commonly, existing heuristic approaches are designed to address specific difficulties of the u...
Orestis Telelis, Panagiotis Stamatopoulos
IPMI
2011
Springer
12 years 11 months ago
Surface-Region Context in Optimal Multi-object Graph-Based Segmentation: Robust Delineation of Pulmonary Tumors
Abstract. Multi-object segmentation with mutual interaction is a challenging task in medical image analysis. We report a novel solution to a segmentation problem, in which target o...
Qi Song, Mingqing Chen, Junjie Bai, Milan Sonka, X...
TCBB
2008
113views more  TCBB 2008»
13 years 7 months ago
Efficient Algorithms for the Computational Design of Optimal Tiling Arrays
The representation of a genome by oligonucleotide probes is a prerequisite for the analysis of many of its basic properties, such as transcription factor binding sites, chromosomal...
Alexander Schliep, Roland Krause