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CSREAESA
2004
13 years 10 months ago
CMOS Implementation of Phase-Encoded Complex-Valued Artificial Neural Networks
- The model of a simple perceptron using phase-encoded inputs and complex-valued weights is presented. Multilayer two-input and three-input complex-valued neurons (CVNs) are implem...
Howard E. Michel, David Rancour, Sushanth Iringent...
FLAIRS
2006
13 years 10 months ago
Using Validation Sets to Avoid Overfitting in AdaBoost
AdaBoost is a well known, effective technique for increasing the accuracy of learning algorithms. However, it has the potential to overfit the training set because its objective i...
Tom Bylander, Lisa Tate
NIPS
2004
13 years 10 months ago
Mistake Bounds for Maximum Entropy Discrimination
We establish a mistake bound for an ensemble method for classification based on maximizing the entropy of voting weights subject to margin constraints. The bound is the same as a ...
Philip M. Long, Xinyu Wu
ICPR
2010
IEEE
13 years 9 months ago
The Problem of Fragile Feature Subset Preference in Feature Selection Methods and a Proposal of Algorithmic Workaround
Abstract—We point out a problem inherent in the optimization scheme of many popular feature selection methods. It follows from the implicit assumption that higher feature selecti...
Petr Somol, Jiri Grim, Pavel Pudil
RAS
2002
131views more  RAS 2002»
13 years 9 months ago
Behavior generation for a mobile robot based on the adaptive fitness function
We have to prepare the evaluation (fitness) function to evaluate the performance of the robot when we apply the machine learning techniques to the robot application. In many cases,...
Eiji Uchibe, Masakazu Yanase, Minoru Asada