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» An extension of the ICA model using latent variables
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MODELS
2009
Springer
15 years 7 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»
14 years 10 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
14 years 10 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
98
Voted
ICTAI
2008
IEEE
15 years 7 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...
115
Voted
JIT
2004
Springer
166views Database» more  JIT 2004»
15 years 6 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