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» Using probabilistic reasoning to automate software tuning
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2002
IEEE
153views Hardware» more  DATE 2002»
15 years 2 months ago
Low Power Embedded Software Optimization Using Symbolic Algebra
The market demand for portable multimedia applications has exploded in the recent years. Unfortunately, for such applications current compilers and software optimization methods o...
Armita Peymandoust, Tajana Simunic, Giovanni De Mi...
ICCBR
2003
Springer
15 years 2 months ago
SOFT-CBR: A Self-Optimizing Fuzzy Tool for Case-Based Reasoning
A generic Case-Based Reasoning tool has been designed, implemented, and successfully used in two distinct applications. SOFT-CBR can be applied to a wide range of decision problems...
Kareem S. Aggour, Marc Pavese, Piero P. Bonissone,...
ILP
1999
Springer
15 years 1 months ago
Probabilistic Relational Models
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Daphne Koller
ECSQARU
2005
Springer
15 years 3 months ago
Type Uncertainty in Ontologically-Grounded Qualitative Probabilistic Matching
This paper is part of a project to match real-world descriptions of instances of objects to models of objects. We use a rich ontology to describe s and models at multiple levels of...
David Poole, Clinton Smyth
ICLP
2009
Springer
15 years 10 months ago
Using Histograms to Better Answer Queries to Probabilistic Logic Programs
Probabilistic logic programs (PLPs) define a set of probability distribution functions (PDFs) over the set of all Herbrand interpretations of the underlying logical language. When...
Matthias Broecheler, Gerardo I. Simari, V. S. Subr...