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PAMI
2010
113views more  PAMI 2010»
15 years 3 months ago
Hierarchical Bayesian Modeling of Topics in Time-Stamped Documents
—We consider the problem of inferring and modeling topics in a sequence of documents with known publication dates. The documents at a given time are each characterized by a topic...
Iulian Pruteanu-Malinici, Lu Ren, John William Pai...
CORR
2010
Springer
96views Education» more  CORR 2010»
15 years 4 months ago
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates
The problem of learning forest-structured discrete graphical models from i.i.d. samples is considered. An algorithm based on pruning of the Chow-Liu tree through adaptive threshol...
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. ...
NAACL
2004
15 years 6 months ago
The Web as a Baseline: Evaluating the Performance of Unsupervised Web-based Models for a Range of NLP Tasks
Previous work demonstrated that web counts can be used to approximate bigram frequencies, and thus should be useful for a wide variety of NLP tasks. So far, only two generation ta...
Mirella Lapata, Frank Keller
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 10 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba
109
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IPPS
2007
IEEE
15 years 11 months ago
Inverse Space-Filling Curve Partitioning of a Global Ocean Model
In this paper, we describe how inverse space-filling curve partitioning is used to increase the simulation rate of a global ocean model. Space-filling curve partitioning allows ...
John M. Dennis