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IJAR
2007
130views more  IJAR 2007»
15 years 7 months ago
Bayesian network learning algorithms using structural restrictions
The use of several types of structural restrictions within algorithms for learning Bayesian networks is considered. These restrictions may codify expert knowledge in a given domai...
Luis M. de Campos, Javier Gomez Castellano
SYNTHESE
2008
84views more  SYNTHESE 2008»
15 years 7 months ago
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...
Thomas Bartz-Beielstein
TASLP
2008
108views more  TASLP 2008»
15 years 7 months ago
An Online Relevant Set Algorithm for Statistical Machine Translation
This paper presents a novel online relevant set algorithm for a linearly-scored block sequence translation model. The key component is a new procedure to directly optimize the glob...
Christoph Tillmann, Tong Zhang
TIT
2008
103views more  TIT 2008»
15 years 7 months ago
Fast Distributed Algorithms for Computing Separable Functions
The problem of computing functions of values at the nodes in a network in a fully distributed manner, where nodes do not have unique identities and make decisions based only on loc...
Damon Mosk-Aoyama, Devavrat Shah
TON
2008
75views more  TON 2008»
15 years 7 months ago
An algorithmic approach to geographic routing in ad hoc and sensor networks
The one type of routing in ad hoc and sensor networks that currently appears to be most amenable to algorithmic analysis
Fabian Kuhn, Roger Wattenhofer, Aaron Zollinger
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