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KDD
2004
ACM
123views Data Mining» more  KDD 2004»
16 years 4 months ago
A DEA approach for model combination
This paper proposes a novel Data Envelopment Analysis (DEA) based approach for model combination. We first prove that for the 2-class classification problems DEA models identify t...
Zhiqiang Zheng, Balaji Padmanabhan, Haoqiang Zheng
IFIP12
2008
15 years 5 months ago
Bayesian Networks Optimization Based on Induction Learning Techniques
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
Paola Britos, Pablo Felgaer, Ramón Garc&iac...
JMLR
2008
89views more  JMLR 2008»
15 years 4 months ago
An Error Bound Based on a Worst Likely Assignment
This paper introduces a new PAC transductive error bound for classification. The method uses information from the training examples and inputs of working examples to develop a set...
Eric Bax, Augusto Callejas
SIGKDD
2000
231views more  SIGKDD 2000»
15 years 4 months ago
KDD-99 Classifier Learning Contest: LLSoft's Results Overview
Kernel Miner is a new data-mining tool based on building the optimal decision forest. The tool won second place in the KDD'99 Classifier Learning Contest, August 1999. We des...
Itzhak Levin
CCS
2007
ACM
15 years 10 months ago
Defining categories to select representative attack test-cases
To ameliorate the quality of protection provided by intrusion detection systems (IDS) we strongly need more effective evaluation and testing procedures. Evaluating an IDS against ...
Mohammed S. Gadelrab, Anas Abou El Kalam, Yves Des...