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DMIN
2006
122views Data Mining» more  DMIN 2006»
13 years 11 months ago
Class Selection Avoiding Key-like Property for Better Precise Rules
When we want to select a class attribute among several choices, we suggest to using a method that is based on the overall correctness of a generating rule set as well as the number...
Hyontai Sug
PKDD
2010
Springer
158views Data Mining» more  PKDD 2010»
13 years 8 months ago
Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
Katya Scheinberg, Irina Rish
CORR
2010
Springer
153views Education» more  CORR 2010»
13 years 9 months ago
Secured Greedy Perimeter Stateless Routing for Wireless Sensor Networks
Wireless sensor networks are collections of large number of sensor nodes. The sensor nodes are featured with limited energy, computation and transmission power. Each node in the n...
P. Samundiswary, D. Sathian, P. Dananjayan
ICTAI
2010
IEEE
13 years 7 months ago
Unsupervised Greedy Learning of Finite Mixture Models
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
KDD
2000
ACM
142views Data Mining» more  KDD 2000»
14 years 1 months ago
Automating exploratory data analysis for efficient data mining
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...
Jonathan D. Becher, Pavel Berkhin, Edmund Freeman