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» On distributed optimization using generalized gossip
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KDD
2009
ACM
188views Data Mining» more  KDD 2009»
16 years 4 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 4 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
228
Voted
SIGMOD
2009
ACM
184views Database» more  SIGMOD 2009»
16 years 4 months ago
Minimizing the communication cost for continuous skyline maintenance
Existing work in the skyline literature focuses on optimizing the processing cost. This paper aims at minimization of the communication overhead in client-server architectures, wh...
Zhenjie Zhang, Reynold Cheng, Dimitris Papadias, A...
ALT
2009
Springer
16 years 22 days ago
Average-Case Active Learning with Costs
Abstract. We analyze the expected cost of a greedy active learning algorithm. Our analysis extends previous work to a more general setting in which different queries have differe...
Andrew Guillory, Jeff A. Bilmes
159
Voted
VEE
2009
ACM
240views Virtualization» more  VEE 2009»
15 years 10 months ago
Memory buddies: exploiting page sharing for smart colocation in virtualized data centers
Many data center virtualization solutions, such as VMware ESX, employ content-based page sharing to consolidate the resources of multiple servers. Page sharing identifies virtual...
Timothy Wood, Gabriel Tarasuk-Levin, Prashant J. S...