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TIFS
2008
102views more  TIFS 2008»
14 years 11 months ago
Use of Identification Trial Statistics for the Combination of Biometric Matchers
Combination functions typically used in biometric identification systems consider as input parameters only those matching scores which are related to a single person in order to de...
Sergey Tulyakov, Venu Govindaraju
TKDE
2008
123views more  TKDE 2008»
14 years 11 months ago
Explaining Classifications For Individual Instances
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
Marko Robnik-Sikonja, Igor Kononenko
AUTOMATICA
2000
67views more  AUTOMATICA 2000»
14 years 11 months ago
Stability analysis of learning feed-forward control
In this paper, a learning control system is considered for motion systems that are subject to two types of disturbances; reproducible disturbances, that re-occur each run in the s...
Wubbe J. R. Velthuis, Theo J. A. de Vries, Pieter ...
IJPRAI
2000
62views more  IJPRAI 2000»
14 years 11 months ago
Knowledge-Guided Classification of Coastal Zone Color Images Off the West Florida Shelf
Abstract A knowledge-guided approach to automatic classification of Coastal Zone Color images of the West Florida Shelf is described. The approach is used to identify red tides on ...
Mingrui Zhang, Lawrence O. Hall, Dmitry B. Goldgof...
ML
2000
ACM
185views Machine Learning» more  ML 2000»
14 years 11 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