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» Resampling methods for input modeling
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CGF
2005
232views more  CGF 2005»
15 years 3 months ago
Algorithms for Interactive Editing of Level Set Models
Level set models combine a low-level volumetric representation, the mathematics of deformable implicit surfaces, and powerful, robust numerical techniques to produce a novel appro...
Ken Museth, David E. Breen, Ross T. Whitaker, Sean...
109
Voted
EOR
2002
100views more  EOR 2002»
15 years 3 months ago
A buyer-seller game model for selection and negotiation of purchasing bids
Selection and negotiation of purchasing bids is a complex decision making process that requires consideration of a variety of vendor attributes such as price, delivery performance...
Srinivas Talluri
116
Voted
ARTMED
1999
92views more  ARTMED 1999»
15 years 3 months ago
Two-Stage Machine Learning model for guideline development
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
Subramani Mani, William Rodman Shankle, Malcolm B....
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
15 years 10 months ago
Protein Identification from Tandem Mass Spectra with Probabilistic Language Modeling
This paper presents an interdisciplinary investigation of statistical information retrieval (IR) techniques for protein identification from tandem mass spectra, a challenging probl...
Yiming Yang, Abhay Harpale, Subramaniam Ganapathy
107
Voted
PKDD
2007
Springer
91views Data Mining» more  PKDD 2007»
15 years 9 months ago
Domain Adaptation of Conditional Probability Models Via Feature Subsetting
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
Sandeepkumar Satpal, Sunita Sarawagi