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UAI
2008
14 years 11 months ago
Small Sample Inference for Generalization Error in Classification Using the CUD Bound
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
Eric Laber, Susan Murphy
GPEM
2008
128views more  GPEM 2008»
14 years 9 months ago
Coevolutionary bid-based genetic programming for problem decomposition in classification
In this work a cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. This represents a significan...
Peter Lichodzijewski, Malcolm I. Heywood
IJCAI
2003
14 years 11 months ago
Does a New Simple Gaussian Weighting Approach Perform Well in Text Categorization?
A new approach to the Text Categorization problem is here presented. It is called Gaussian Weighting and it is a supervised learning algorithm that, during the training phase, est...
Giorgio Maria Di Nunzio, Alessandro Micarelli
BMCBI
2006
108views more  BMCBI 2006»
14 years 9 months ago
Gene function classification using Bayesian models with hierarchy-based priors
We investigate the application of hierarchical classification schemes to the annotation of gene function based on several characteristics of protein sequences including phylogenic ...
Babak Shahbaba, Radford M. Neal
MSN
2007
Springer
124views Sensor Networks» more  MSN 2007»
15 years 3 months ago
Reducing End-to-End Delay in Multi-path Routing Algorithms for Mobile Ad Hoc Networks
Some of the routing algorithms in mobile ad hoc networks use multiple paths simultaneously. These algorithms can attempt to find nodedisjoint paths to achieve higher fault toleranc...
Nastooh Taheri Javan, Mehdi Dehghan