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RSCTC
2000
Springer
139views Fuzzy Logic» more  RSCTC 2000»
13 years 8 months ago
Application of Normalized Decision Measures to the New Case Classification
The optimization of rough set based classification models with respect to parameterized balance between a model's complexity and confidence is discussed. For this purpose, the...
Dominik Slezak, Jakub Wroblewski
ICDAR
2009
IEEE
13 years 11 months ago
Combination of Measurement-Level Classifiers: Output Normalization by Dynamic Time Warping
Classifier combination is a powerful strategy to support useful solutions in difficult classification problems. Notwithstanding, the effectiveness of a multi-classifier system str...
Giuseppe Pirlo, Donato Impedovo, Claudia Adamita T...
CORR
2011
Springer
202views Education» more  CORR 2011»
12 years 11 months ago
Online Least Squares Estimation with Self-Normalized Processes: An Application to Bandit Problems
The analysis of online least squares estimation is at the heart of many stochastic sequential decision-making problems. We employ tools from the self-normalized processes to provi...
Yasin Abbasi-Yadkori, Dávid Pál, Csa...
EXACT
2009
13 years 2 months ago
Explaining a Result to the End-User: A Geometric Approach for Classification Problems
This paper addresses the issue of the explanation of the result given to the end-user by a classifier, when it is used as a decision support system. We consider machine learning cl...
Isabelle Alvarez, Sophie Martin
ML
2000
ACM
185views Machine Learning» more  ML 2000»
13 years 4 months ago
A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...
Tjen-Sien Lim, Wei-Yin Loh, Yu-Shan Shih