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» The Information Bottleneck EM Algorithm
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ICDCS
2006
IEEE
14 years 1 months ago
Scalable and Robust Aggregation Techniques for Extracting Statistical Information in Sensor Networks
Wireless sensor networks have stringent constraints on system resources and data aggregation techniques are critically important. However, accurate data aggregation is difficult ...
Hongbo Jiang, Shudong Jin
ICPP
2003
IEEE
14 years 23 days ago
On Maximizing Lifetime of Multicast Trees in Wireless Ad hoc Networks
This paper presents a distributed algorithm called LREMiT for extending the lifetime of a source-based multicast tree in wireless ad hoc networks (WANET). The lifetime of a multic...
Bin Wang, Sandeep K. S. Gupta
NAACL
2010
13 years 5 months ago
Constraint-Driven Rank-Based Learning for Information Extraction
Most learning algorithms for undirected graphical models require complete inference over at least one instance before parameter updates can be made. SampleRank is a rankbased lear...
Sameer Singh, Limin Yao, Sebastian Riedel, Andrew ...
SIGIR
2002
ACM
13 years 7 months ago
Unsupervised document classification using sequential information maximization
We present a novel sequential clustering algorithm which is motivated by the Information Bottleneck (IB) method. In contrast to the agglomerative IB algorithm, the new sequential ...
Noam Slonim, Nir Friedman, Naftali Tishby
WWW
2010
ACM
13 years 7 months ago
Efficient resource allocation and power saving in multi-tiered systems
In this paper, we present Fastrack, a parameter-free algorithm for dynamic resource provisioning that uses simple statistics to promptly distill information about changes in workl...
Andrew Caniff, Lei Lu, Ningfang Mi, Ludmila Cherka...