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BMCBI
2007
194views more  BMCBI 2007»
13 years 9 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
FOCS
2009
IEEE
14 years 3 months ago
Symmetry and Approximability of Submodular Maximization Problems
Abstract— A number of recent results on optimization problems involving submodular functions have made use of the ”multilinear relaxation” of the problem [3], [8], [24], [14]...
Jan Vondrák
VLDB
2002
ACM
141views Database» more  VLDB 2002»
14 years 9 months ago
Data page layouts for relational databases on deep memory hierarchies
Relational database systems have traditionally optimized for I/O performance and organized records sequentially on disk pages using the N-ary Storage Model (NSM) (a.k.a., slotted ...
Anastassia Ailamaki, David J. DeWitt, Mark D. Hill
TKDE
2010
164views more  TKDE 2010»
13 years 7 months ago
Defeasible Contextual Reasoning with Arguments in Ambient Intelligence
Abstract—The imperfect nature of context in Ambient Intelligence environments and the special characteristics of the entities that possess and share the available context informa...
Antonis Bikakis, Grigoris Antoniou
CVPR
2000
IEEE
14 years 10 months ago
A Curve Evolution Approach to Smoothing and Segmentation Using the Mumford-Shah Functional
In this work, we approach the classic Mumford-Shah problem from a curve evolution perspective. In particular, we let a given family of curves define the boundaries between regions...
Andy Tsai, Anthony J. Yezzi, Alan S. Willsky