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» A Digital Archive of Research Papers in Computer Science
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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 6 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
155
Voted
RECOMB
2004
Springer
16 years 6 months ago
Mining protein family specific residue packing patterns from protein structure graphs
Finding recurring residue packing patterns, or spatial motifs, that characterize protein structural families is an important problem in bioinformatics. To this end, we apply a nov...
Jun Huan, Wei Wang 0010, Deepak Bandyopadhyay, Jac...
SAC
2005
ACM
15 years 11 months ago
Adaptive and fault tolerant medical vest for life-critical medical monitoring
In recent years, exciting technological advances have been made in development of flexible electronics. These technologies offer the opportunity to weave computation, communicat...
Roozbeh Jafari, Foad Dabiri, Philip Brisk, Majid S...
FOCS
2008
IEEE
16 years 17 days ago
Near-Optimal Sparse Recovery in the L1 Norm
Abstract— We consider the approximate sparse recovery problem, where the goal is to (approximately) recover a highdimensional vector x ∈ Rn from its lower-dimensional sketch Ax...
Piotr Indyk, Milan Ruzic
WG
2005
Springer
15 years 11 months ago
Hypertree Decompositions: Structure, Algorithms, and Applications
We review the concepts of hypertree decomposition and hypertree width from a graph theoretical perspective and report on a number of recent results related to these concepts. We al...
Georg Gottlob, Martin Grohe, Nysret Musliu, Marko ...