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» Learning Classifiers from Semantically Heterogeneous Data
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WWW
2008
ACM
14 years 9 months ago
A graph-theoretic approach to webpage segmentation
We consider the problem of segmenting a webpage into visually and semantically cohesive pieces. Our approach is based on formulating an appropriate optimization problem on weighte...
Deepayan Chakrabarti, Ravi Kumar, Kunal Punera
CORR
2006
Springer
153views Education» more  CORR 2006»
13 years 8 months ago
Genetic Programming, Validation Sets, and Parsimony Pressure
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
Christian Gagné, Marc Schoenauer, Marc Pari...
KDD
2012
ACM
178views Data Mining» more  KDD 2012»
11 years 11 months ago
Mining emerging patterns by streaming feature selection
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 9 months ago
Mining social networks for personalized email prioritization
Email is one of the most prevalent communication tools today, and solving the email overload problem is pressingly urgent. A good way to alleviate email overload is to automatical...
Shinjae Yoo, Yiming Yang, Frank Lin, Il-Chul Moon
DKE
2007
82views more  DKE 2007»
13 years 8 months ago
Eliciting information for product modeling using process modeling
A product model is a formal and structured definition of product information. The most common procedure for defining a product data model is to first describe the business and/...
Ghang Lee, Charles M. Eastman, Rafael Sacks