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CORR
2012
Springer
170views Education» more  CORR 2012»
12 years 3 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
ICASSP
2011
IEEE
12 years 12 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
DBISP2P
2005
Springer
172views Database» more  DBISP2P 2005»
14 years 1 months ago
A Content-Addressable Network for Similarity Search in Metric Spaces
In this paper we present a scalable and distributed access structure for similarity search in metric spaces. The approach is based on the Content– addressable Network (CAN) parad...
Fabrizio Falchi, Claudio Gennaro, Pavel Zezula
SIGMOD
1991
ACM
81views Database» more  SIGMOD 1991»
13 years 11 months ago
Multi-Disk B-trees
In this paper, Dept. of Computer Science, University of Waterloo Waterloo, Ontario, Canada, N2L 3G1 we consider how to exploit multiple disks to improve the performance of B-tree ...
Bernhard Seeger, Per-Åke Larson
IPPS
2009
IEEE
14 years 2 months ago
The effect of population density on the performance of a spatial social network algorithm for multi-objective optimisation
—Particle Swarm Optimisation (PSO) is increasingly being applied to optimisation of multi-objective problems in engineering design and scientific investigation. This paper inves...
Andrew Lewis