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IJCNN
2007
IEEE
14 years 1 months ago
Distance-based Disagreement Classifiers Combination
— We present a methodology to analyze Multiple Classifiers Systems (MCS) performance, using the diversity concept. The goal is to define an alternative approach to the convention...
Cinthia Obladen de Almendra Freitas, João M...
IJCNN
2007
IEEE
14 years 1 months ago
Local Learning of Tide Level Time Series using a Fuzzy Approach
— Forecasting the tide level in the Venezia lagoon is a very compelling task. In this work we propose a new approach to the learning of tide level time series based on the local ...
E. Canestrelli, P. Canestrelli, Marco Corazza, Mau...
IJCNN
2007
IEEE
14 years 1 months ago
Optimizing 0/1 Loss for Perceptrons by Random Coordinate Descent
—The 0/1 loss is an important cost function for perceptrons. Nevertheless it cannot be easily minimized by most existing perceptron learning algorithms. In this paper, we propose...
Ling Li, Hsuan-Tien Lin
NOCS
2007
IEEE
14 years 1 months ago
Implementing DSP Algorithms with On-Chip Networks
Many DSP algorithms are very computationally intensive. They are typically implemented using an ensemble of processing elements (PEs) operating in parallel. The results from PEs n...
Xiang Wu, Tamer Ragheb, Adnan Aziz, Yehia Massoud
CIARP
2007
Springer
14 years 1 months ago
Confusion Matrix Disagreement for Multiple Classifiers
We present a methodology to analyze Multiple Classifiers Systems (MCS) performance, using the disagreement concept. The goal is to define an alternative approach to the conventiona...
Cinthia Obladen de Almendra Freitas, João M...