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» A Probability Model for Combining Ranks
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CSB
2005
IEEE
118views Bioinformatics» more  CSB 2005»
15 years 11 months ago
Gene Teams with Relaxed Proximity Constraint
Functionally related genes co-evolve, probably due to the strong selection pressure in evolution. Thus we expect that they are present in multiple genomes. Physical proximity amon...
Sun Kim, Jeong-Hyeon Choi, Jiong Yang
CP
2007
Springer
16 years 11 days ago
Hierarchical Hardness Models for SAT
Abstract. Empirical hardness models are a recent approach for studying NP-hard problems. They predict the runtime of an instance using efficiently computable features. Previous res...
Lin Xu, Holger H. Hoos, Kevin Leyton-Brown
ICML
2006
IEEE
16 years 7 months ago
Full Bayesian network classifiers
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
Jiang Su, Harry Zhang
WINET
2010
142views more  WINET 2010»
15 years 4 months ago
Demand-driven publish/subscribe in mobile environments
—We propose a novel Self-Balancing Supply/Demand (SBSD) reactive MANET protocol. Our algorithm dynamically discovers publications matching specified subscriptions by controlled f...
Aris M. Ouksel, Doug Lundquist
CVPR
2011
IEEE
14 years 10 months ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff