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AIPS
2007
14 years 12 months ago
Learning to Plan Using Harmonic Analysis of Diffusion Models
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
Sridhar Mahadevan, Sarah Osentoski, Jeffrey Johns,...
TIP
2008
133views more  TIP 2008»
14 years 9 months ago
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
Jason K. Johnson, Alan S. Willsky
EDBT
2012
ACM
247views Database» more  EDBT 2012»
13 years 3 hour ago
Heuristics-based query optimisation for SPARQL
Query optimization in RDF Stores is a challenging problem as SPARQL queries typically contain many more joins than equivalent relational plans, and hence lead to a large join orde...
Petros Tsialiamanis, Lefteris Sidirourgos, Irini F...
SIGMOD
2004
ACM
184views Database» more  SIGMOD 2004»
15 years 9 months ago
CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies
The rich dependency structure found in the columns of real-world relational databases can be exploited to great advantage, but can also cause query optimizers--which usually assum...
Ihab F. Ilyas, Volker Markl, Peter J. Haas, Paul B...
AICCSA
2006
IEEE
179views Hardware» more  AICCSA 2006»
15 years 3 months ago
Supporting the SPEM with a UML Extended Workflow Metamodel
The specification, analysis, and administration of business processes have charged great importance in this last time. This has been caused by a competitive industry necessity, dy...
Narayan C. Debnath, Daniel Riesco, Manuel Pé...