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» Measuring and Predicting Object Importance
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JMLR
2008
230views more  JMLR 2008»
14 years 11 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
SIGIR
2011
ACM
14 years 2 months ago
Learning search tasks in queries and web pages via graph regularization
As the Internet grows explosively, search engines play a more and more important role for users in effectively accessing online information. Recently, it has been recognized that ...
Ming Ji, Jun Yan, Siyu Gu, Jiawei Han, Xiaofei He,...
ICDCS
2012
IEEE
13 years 1 months ago
NEAT: Road Network Aware Trajectory Clustering
—Mining trajectory data has been gaining significant interest in recent years. However, existing approaches to trajectory clustering are mainly based on density and Euclidean di...
Binh Han, Ling Liu, Edward Omiecinski
INTERACTION
2009
ACM
15 years 5 months ago
Temporal-spatial association analysis of ocean salinity and temperature variations
Ocean circulation plays an important role in global climate change. In an effort to monitor ocean circulation an infrastructure of more than 3,000 buoys have been deployed in the ...
Yo-Ping Huang, Jung-Shian Jau, Frode Eika Sandnes
PDIS
1993
IEEE
15 years 3 months ago
Log-Based Directory Resolution in the Coda File System
semantic knowledge all concurrent partitionedAbstract updates to an object must be treated as conflicting, andOptimistic replication is an important technique for merged manually b...
Puneet Kumar, Mahadev Satyanarayanan