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NIPS
2008
15 years 3 months ago
Asynchronous Distributed Learning of Topic Models
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
Arthur Asuncion, Padhraic Smyth, Max Welling
133
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SDM
2008
SIAM
118views Data Mining» more  SDM 2008»
15 years 3 months ago
Massive-Scale Kernel Discriminant Analysis: Mining for Quasars
We describe a fast algorithm for kernel discriminant analysis, empirically demonstrating asymptotic speed-up over the previous best approach. We achieve this with a new pattern of...
Ryan Riegel, Alexander Gray, Gordon Richards
116
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ACE
2004
163views Education» more  ACE 2004»
15 years 3 months ago
Adventure Cycles A Software Engineering Approach
In this paper we discuss using a case study to demonstrate the software engineering process from requirements, specification, preliminary user manual, prototyping, design, impleme...
John Paynter, Emma Sharkey
116
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ACL
2006
15 years 3 months ago
BiTAM: Bilingual Topic AdMixture Models for Word Alignment
We propose a novel bilingual topical admixture (BiTAM) formalism for word alignment in statistical machine translation. Under this formalism, the parallel sentence-pairs within a ...
Bing Zhao, Eric P. Xing
114
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CDES
2006
99views Hardware» more  CDES 2006»
15 years 3 months ago
Teraflop Computing for Nanoscience
: Over the last three decades there has been significant progress in the first principles methods for calculating the properties of materials at the quantum level. They have largel...
Yang Wang 0008, G. M. Stocks, Aurelian Rusanu, D. ...
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