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ER
2004
Springer
103views Database» more  ER 2004»
15 years 12 months ago
Modeling Default Induction with Conceptual Structures
Our goal is to model the way people induce knowledge from rare and sparse data. This paper describes a theoretical framework for inducing knowledge from these incomplete data descr...
Julien Velcin, Jean-Gabriel Ganascia
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
16 years 6 months ago
Support envelopes: a technique for exploring the structure of association patterns
This paper introduces support envelopes--a new tool for analyzing association patterns--and illustrates some of their properties, applications, and possible extensions. Specifical...
Michael Steinbach, Pang-Ning Tan, Vipin Kumar
IPMI
2007
Springer
16 years 7 months ago
Bayesian Tracking of Elongated Structures in 3D Images
Tracking of tubular elongated structures is an important goal in a wide range of biomedical imaging applications. A Bayesian tube tracking algorithm is presented that allows to eas...
Michiel Schaap, Ihor Smal, Coert Metz, Theo van Wa...
NAACL
2007
15 years 8 months ago
Multilingual Structural Projection across Interlinear Text
This paper explores the potential for annotating and enriching data for low-density languages via the alignment and projection of syntactic structure from parsed data for resource...
Fei Xia, William Lewis
EMNLP
2006
15 years 7 months ago
Domain Adaptation with Structural Correspondence Learning
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...
John Blitzer, Ryan T. McDonald, Fernando Pereira