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103
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BMVC
2001
15 years 5 months ago
Graph Matching using Adjacency Matrix Markov Chains
This paper describes a spectral method for graph-matching. We adopt a graphical models viewpoint in which the graph adjacency matrix is taken to represent the transition probabili...
Antonio Robles-Kelly, Edwin R. Hancock
116
Voted
GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
15 years 3 months ago
A genetic programming approach to business process mining
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen
120
Voted
CIKM
2006
Springer
15 years 6 months ago
A system for query-specific document summarization
There has been a great amount of work on query-independent summarization of documents. However, due to the success of Web search engines query-specific document summarization (que...
Ramakrishna Varadarajan, Vagelis Hristidis
149
Voted
AIPS
2006
15 years 4 months ago
Sequential Monte Carlo in Probabilistic Planning Reachability Heuristics
The current best conformant probabilistic planners encode the problem as a bounded length CSP or SAT problem. While these approaches can find optimal solutions for given plan leng...
Daniel Bryce, Subbarao Kambhampati, David E. Smith
AI
2008
Springer
15 years 2 months ago
Sequential Monte Carlo in reachability heuristics for probabilistic planning
The current best conformant probabilistic planners encode the problem as a bounded length CSP or SAT problem. While these approaches can find optimal solutions for given plan leng...
Daniel Bryce, Subbarao Kambhampati, David E. Smith