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» An extension of the ICA model using latent variables
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MODELS
2009
Springer
14 years 3 months ago
Feature-oriented programming with Ruby
Features identify core characteristics of software in order to produce families of programs. Through configuration, different variants of a program can be composed. Our approach...
Sebastian Günther, Sagar Sunkle
ICDM
2010
IEEE
127views Data Mining» more  ICDM 2010»
13 years 6 months ago
Learning Markov Network Structure with Decision Trees
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
Daniel Lowd, Jesse Davis
EMNLP
2010
13 years 6 months ago
Storing the Web in Memory: Space Efficient Language Models with Constant Time Retrieval
We present three novel methods of compactly storing very large n-gram language models. These methods use substantially less space than all known approaches and allow n-gram probab...
David Guthrie, Mark Hepple
ICTAI
2008
IEEE
14 years 3 months ago
The System BioC for Reasoning about Biological Models in Action Language C
We elaborate upon the usage of action language C for representing and reasoning about biological models. First, we provide a simple extension of C allowing for variables and show ...
Steve Dworschak, Torsten Grote, Arne König, T...
JIT
2004
Springer
166views Database» more  JIT 2004»
14 years 2 months ago
Feature-Oriented Development of Software Product Lines: Mapping Feature Models to the Architecture
Software product lines (PLs) present a solid approach in large scale reuse. Due to the PLs’ inherit complexity, many PL methods use the notion of ”features” to support requir...
Periklis Sochos, Ilka Philippow, Matthias Riebisch