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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...
LREC
2008
128views Education» more  LREC 2008»
15 years 5 months ago
ASV Toolbox: a Modular Collection of Language Exploration Tools
ASV Toolbox is a modular collection of tools for the exploration of written language data both for scientific and educational purposes. It includes modules that operate on word li...
Chris Biemann, Uwe Quasthoff, Gerhard Heyer, Flori...
ISCI
2008
188views more  ISCI 2008»
15 years 4 months ago
Classifying mental tasks based on features of higher-order statistics from EEG signals in brain-computer interface
In order to characterize the non-Gaussian information contained within the EEG signals, a new feature extraction method based on bispectrum is proposed and applied to the classifi...
Shang-Ming Zhou, John Q. Gan, Francisco Sepulveda
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 3 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