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» A Probability Model for Combining Ranks
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CSB
2005
IEEE
118views Bioinformatics» more  CSB 2005»
15 years 5 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
15 years 6 months 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 20 days 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»
14 years 10 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 3 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