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» A General Language Model for Information Retrieval
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WWW
2008
ACM
16 years 7 months ago
Topic modeling with network regularization
In this paper, we formally define the problem of topic modeling with network structure (TMN). We propose a novel solution to this problem, which regularizes a statistical topic mo...
Qiaozhu Mei, Deng Cai, Duo Zhang, ChengXiang Zhai
IPSN
2010
Springer
16 years 1 months ago
Programming storage-centric sensor networks with Squirrel
We present SQUIRREL, a stream-oriented programming framework for storage-centric sensor networks. The storagecentric paradigm—where storage operations prevail over communication...
Luca Mottola
EDBT
2008
ACM
146views Database» more  EDBT 2008»
15 years 8 months ago
SPARQLing constraints for RDF
The goal of the Semantic Web is to support semantic interoperability between applications exchanging data on the web. The idea heavily relies on data being made available in machi...
Georg Lausen, Michael Meier 0002, Michael Schmidt
FTML
2008
185views more  FTML 2008»
15 years 6 months ago
Graphical Models, Exponential Families, and Variational Inference
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate stat...
Martin J. Wainwright, Michael I. Jordan
WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
16 years 4 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li