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» CP Models for Maximum Common Subgraph Problems
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ICMLA
2009
13 years 8 months ago
Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
Johannes Hartz
CP
2009
Springer
14 years 5 months ago
Closing the Open Shop: Contradicting Conventional Wisdom
This paper describes a new approach for solving disjunctive temporal problems such as the open shop and job shop scheduling domains. Much previous research in systematic search app...
Diarmuid Grimes, Emmanuel Hebrard, Arnaud Malapert
WWW
2011
ACM
13 years 5 months ago
Web information extraction using Markov logic networks
In this paper, we consider the problem of extracting structured data from web pages taking into account both the content of individual attributes as well as the structure of pages...
Sandeepkumar Satpal, Sahely Bhadra, Sundararajan S...
IPM
2008
102views more  IPM 2008»
13 years 11 months ago
Fast exact maximum likelihood estimation for mixture of language model
Language modeling is an effective and theoretically attractive probabilistic framework for text information retrieval. The basic idea of this approach is to estimate a language mo...
Yi Zhang 0001, Wei Xu
NLPRS
2001
Springer
14 years 3 months ago
Statistical Parsing of Dutch using Maximum Entropy Models with Feature Merging
In this project report we describe work in statistical parsing using the maximum entropy technique and the Alpino language analysis system for Dutch. A major difficulty in this d...
Tony Mullen, Rob Malouf, Gertjan van Noord