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» On Classifier Domains of Competence
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KDD
1998
ACM
442views Data Mining» more  KDD 1998»
14 years 1 months ago
BAYDA: Software for Bayesian Classification and Feature Selection
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
Petri Kontkanen, Petri Myllymäki, Tomi Siland...
CIDM
2007
IEEE
14 years 1 months ago
Designing a Fuzzy Rule Based System to Estimate Depth of Anesthesia
Estimating the depth of anesthesia (DOA) is still a challenging area in anesthesia research. The objective of this study was to design a fuzzy rule based system which integrates el...
V. Esmaeili, Amin Assareh, M. B. Shamsollahi, Moha...
CISIM
2007
IEEE
14 years 1 months ago
Semi-Automatic Segmentation of Fibrous Liver Tissue
This article presents a semi-automatic segmentation of the fibrous liver tissue in the in-vivo liver biopsy color images. The segmentation is performed using a tree-based classifi...
P. Andruszkiewicz, C. Boldak, J. Jaroszewicz
AUSDM
2006
Springer
114views Data Mining» more  AUSDM 2006»
14 years 24 days ago
Consolidated Trees: An Analysis of Structural Convergence
When different subsamples of the same data set are used to induce classification trees, the structure of the built classifiers is very different. The stability of the structure of ...
Jesús M. Pérez, Javier Muguerza, Ola...
HIS
2004
13 years 10 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...