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» Minimizing Learned Clauses
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ICONIP
2007
14 years 11 months ago
Using Generalization Error Bounds to Train the Set Covering Machine
In this paper we eliminate the need for parameter estimation associated with the set covering machine (SCM) by directly minimizing generalization error bounds. Firstly, we consider...
Zakria Hussain, John Shawe-Taylor
SDM
2004
SIAM
212views Data Mining» more  SDM 2004»
14 years 11 months ago
Clustering with Bregman Divergences
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...
NIPS
1998
14 years 11 months ago
An Entropic Estimator for Structure Discovery
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Matthew Brand
COMAD
2009
14 years 10 months ago
A Feasibility Study on Automating the Automotive Insurance Claims Processing
In this paper, we present a feasibility study in automating the insurance claims processing system related to automotive sector. In automobile insurance claims processing, usually...
Jayanta Basak, Desmond Lim
BMCBI
2010
107views more  BMCBI 2010»
14 years 9 months ago
Semantic annotation of morphological descriptions: an overall strategy
Background: Large volumes of morphological descriptions of whole organisms have been created as print or electronic text in a human-readable format. Converting the descriptions in...
Hong Cui