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» Boosting and Hard-Core Sets
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103
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ILP
2000
Springer
15 years 4 months ago
Learning First Order Logic Time Series Classifiers
A method for learning multivariate time series classifiers by inductive logic programming is presented. Two types of background predicate that are suited for this task are introduc...
Juan José Rodríguez, Carlos J. Alons...
117
Voted
AINA
2008
IEEE
15 years 2 months ago
Formalization of Link Farm Structure Using Graph Grammar
A link farm is a set of web pages constructed to mislead the importance of target pages in search engine results by boosting their link-based ranking scores. In this paper, we int...
Kiattikun Chobtham, Athasit Surarerks, Arnon Rungs...
81
Voted
COLING
2008
15 years 1 months ago
Automatic Generation of Parallel Treebanks
The need for syntactically annotated data for use in natural language processing has increased dramatically in recent years. This is true especially for parallel treebanks, of whi...
Ventsislav Zhechev, Andy Way
NAACL
2007
15 years 1 months ago
A Probabilistic Framework for Answer Selection in Question Answering
This paper describes a probabilistic answer selection framework for question answering. In contrast with previous work using individual resources such as ontologies and the Web to...
Jeongwoo Ko, Luo Si, Eric Nyberg
83
Voted
ACL
2006
15 years 1 months ago
Semantic Parsing with Structured SVM Ensemble Classification Models
We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
Minh Le Nguyen, Akira Shimazu, Xuan Hieu Phan