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JMLR
2010
145views more  JMLR 2010»
15 years 1 months ago
Parallelizable Sampling of Markov Random Fields
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
James Martens, Ilya Sutskever
ICASSP
2011
IEEE
14 years 10 months ago
Improving kernel-energy trade-offs for machine learning in implantable and wearable biomedical applications
Emerging biomedical sensors and stimulators offer unprecedented modalities for delivering therapy and acquiring physiological signals (e.g., deep brain stimulators). Exploiting th...
Kyong-Ho Lee, Sun-Yuan Kung, Naveen Verma
CSFW
2012
IEEE
13 years 9 months ago
Measuring Information Leakage Using Generalized Gain Functions
Abstract—This paper introduces g-leakage, a rich generalization of the min-entropy model of quantitative information flow. In g-leakage, the benefit that an adversary derives f...
Mário S. Alvim, Konstantinos Chatzikokolaki...
VLDB
2005
ACM
103views Database» more  VLDB 2005»
16 years 7 hour ago
Semantic Query Optimization for XQuery over XML Streams
We study XML stream-specific schema-based optimization. We assume a widely-adopted automata-based execution model for XQuery evaluation. Criteria are established regarding what s...
Hong Su, Elke A. Rundensteiner, Murali Mani
SIGMOD
1993
ACM
106views Database» more  SIGMOD 1993»
15 years 10 months ago
Concurrency Control and Recovery of Multidatabase Work Flows in Telecommunication Applications
In a research and technology applicationproject at Bellcore, we used multidatabase transactions to model multisystem workflows of telecommunication applications. During the projec...
W. Woody Jin, Marek Rusinkiewicz, Linda Ness, Amit...