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» Reformulating Constraint Models Using Input Data
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81
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LREC
2010
160views Education» more  LREC 2010»
14 years 11 months ago
FrAG, a Hybrid Constraint Grammar Parser for French
This paper describes a hybrid tagger/parser for French (FrAG), and presents results from ongoing development work, corpus annotation and evaluation. The core of the system is a se...
Eckhard Bick
CAISE
2004
Springer
15 years 3 months ago
Towards a Semi-Automated Approach to Intermodel Transformation
This paper introduces an extension to the hypergraph data model used in the AutoMed data intergration approach that allows constraints common in static data modelling languages to ...
Michael Boyd, Peter McBrien
SIGIR
2008
ACM
14 years 9 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
JLP
2000
109views more  JLP 2000»
14 years 9 months ago
Demand Transformation Analysis for Concurrent Constraint Programs
interpretation. In the context of stream parallelism, this analysis identi es an amount of input data for which predicate execution can safely wait without danger of introducing de...
Moreno Falaschi, Patrick Hicks, William H. Winsbor...
91
Voted
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
15 years 4 months ago
Semi-supervised Clustering Using Bayesian Regularization
Text clustering is most commonly treated as a fully automated task without user supervision. However, we can improve clustering performance using supervision in the form of pairwi...
Zuobing Xu, Ram Akella, Mike Ching, Renjie Tang