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FLAIRS
2006
13 years 9 months ago
Evaluating WordNet Features in Text Classification Models
Incorporating semantic features from the WordNet lexical database is among one of the many approaches that have been tried to improve the predictive performance of text classifica...
Trevor N. Mansuy, Robert J. Hilderman
BMCBI
2005
120views more  BMCBI 2005»
13 years 7 months ago
SpectralNET - an application for spectral graph analysis and visualization
Background: Graph theory provides a computational framework for modeling a variety of datasets including those emerging from genomics, proteomics, and chemical genetics. Networks ...
Joshua J. Forman, Paul A. Clemons, Stuart L. Schre...
APN
2000
Springer
13 years 11 months ago
Efficient Symbolic State-Space Construction for Asynchronous Systems
Many techniques for the verification of reactive systems rely on the analysis of their reachable state spaces. In this paper, a new algorithm for the symbolic generation of the sta...
Gianfranco Ciardo, Gerald Lüttgen, Radu Simin...
NIPS
2007
13 years 9 months ago
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
We show how to use unlabeled data and a deep belief net (DBN) to learn a good covariance kernel for a Gaussian process. We first learn a deep generative model of the unlabeled da...
Ruslan Salakhutdinov, Geoffrey E. Hinton
CEC
2008
IEEE
14 years 2 months ago
Reduced polynomial neural swarm net for classification task in data mining
—In this paper, we proposed a reduced polynomial neural swarm net (RPNSN) for the task of classification. Classification task is one of the most studied tasks of data mining. In ...
Bijan Bihari Misra, Satchidananda Dehuri, Pradipta...