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» Opportunistic Data Structures with Applications
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127
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CEC
2010
IEEE
15 years 4 months ago
Two novel Ant Colony Optimization approaches for Bayesian network structure learning
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
Yanghui Wu, John A. W. McCall, David W. Corne
138
Voted
WWW
2010
ACM
15 years 3 months ago
LINKREC: a unified framework for link recommendation with user attributes and graph structure
With the phenomenal success of networking sites (e.g., Facebook, Twitter and LinkedIn), social networks have drawn substantial attention. On online social networking sites, link r...
Zhijun Yin, Manish Gupta, Tim Weninger, Jiawei Han
155
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Weighted and structured sparse total least-squares for perturbed compressive sampling
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data...
Hao Zhu, Georgios B. Giannakis, Geert Leus
107
Voted
AHSWN
2010
103views more  AHSWN 2010»
15 years 3 months ago
Efficient Data Retrieving in Distributed Data-streaming Environments
In a potential distributed application, Automobile Tracking System (ATS), automobile location data is continuously generated, kept in a distributed manner. As large amount of traff...
Jinsong Han, Jun Miao, Jizhong Zhao, Jinpeng Huai,...
RECOMB
2005
Springer
16 years 3 months ago
Predicting Transcription Factor Binding Sites Using Structural Knowledge
Abstract. Current approaches for identification and detection of transcription factor binding sites rely on an extensive set of known target genes. Here we describe a novel structu...
Tommy Kaplan, Nir Friedman, Hanah Margalit