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NIPS
2008
13 years 12 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
WOTUG
2008
13 years 11 months ago
Process-Oriented Collective Operations
Abstract. Distributing process-oriented programs across a cluster of machines requires careful attention to the effects of network latency. The MPI standard, widely used for cluste...
John Markus Bjørndalen, Adam T. Sampson
DMIN
2006
144views Data Mining» more  DMIN 2006»
13 years 11 months ago
Discovering Assignment Rules in Workforce Schedules Using Data Mining
Discovering hidden patterns in large sets of workforce schedules to gain insight into the potential knowledge in workforce schedules are crucial to better understanding the workfor...
Jihong Yan
NAACL
2003
13 years 11 months ago
Automatic Extraction of Semantic Networks from Text using Leximancer
Leximancer is a software system for performing conceptual analysis of text data in a largely language independent manner. The system is modelled on Content Analysis and provides u...
Andrew E. Smith
OSDI
1994
ACM
13 years 11 months ago
The Design and Evaluation of a Shared Object System for Distributed Memory Machines
This paper describes the design and evaluation of SAM, a shared object system for distributed memory machines. SAM is a portable run-time system that provides a global name space ...
Daniel J. Scales, Monica S. Lam
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