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» Implementation Alternatives for Bottom-Up Evaluation
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ICLP
2010
Springer
13 years 8 months ago
Implementation Alternatives for Bottom-Up Evaluation
Abstract. Bottom-up evaluation is a central part of query evaluation / program execution in deductive databases. It is used after a source code optimization like magic sets or SLDm...
Stefan Brass
ICML
2010
IEEE
13 years 6 months ago
Bottom-Up Learning of Markov Network Structure
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
Jesse Davis, Pedro Domingos
SAS
2009
Springer
171views Formal Methods» more  SAS 2009»
14 years 5 months ago
Bottom-Up Shape Analysis
In this paper we present a new shape analysis algorithm. The key distinguishing aspect of our algorithm is that it is completely compositional, bottom-up and non-iterative. We pres...
Bhargav S. Gulavani, Supratik Chakraborty, Ganesan...
EWCBR
2004
Springer
13 years 10 months ago
Learning Feature Taxonomies for Case Indexing
Taxonomic case retrieval systems significantly outperform standard conversational case retrieval systems. However, their feature taxonomies, which are the principal reason for thei...
Kalyan Moy Gupta, David W. Aha, Philip G. Moore
CIMAGING
2010
165views Hardware» more  CIMAGING 2010»
13 years 5 months ago
Implementation and evaluation of a penalized alternating minimization algorithm for computational DIC microscopy
We present the implementation and evaluation of a penalized alternating minimization (AM) method1 for the computation of a specimen's complex transmittance function (magnitud...
Chrysanthe Preza, Joseph A. O'Sullivan