Titlebook: Intelligent Data Engineering and Automated Learning – IDEAL 2008; 9th International Co Colin Fyfe,Dongsup Kim,Hujun Yin Conference proceedi

LOPE

Chronological

Proposal of Exploitation-Oriented Learning PS-r# . (MDPs) environments, XoL aims to learn ., whose expected reward per an action is larger than zero, very quickly. We know PS-r* that is one of the XoL methods. It can learn . that is not inferior to a random walk in . (POMDPs) environments where the number of types of a reward is one. However, PS-

Harness

深淵

A Multitask Learning Approach to Face Recognition Based on Neural Networksneglect potential rich information resources hidden in other related tasks, while multitask learning (MTL) can make full use of the latent information. MTL is an inductive transfer method which improves generalization by using the domain information contained in the training signals of related tasks

慢慢流出

啜泣

A New Adaptive Strategy for Pruning and Adding Hidden Neurons during Training Artificial Neural Netwgning ANNs, AMGS puts emphasis on autonomous functioning in the design process. The new strategy reduces or increases an ANN size during training based on the learning ability of hidden neurons and the training progress of the ANN, respectively. It merges correlated hidden neurons to reduce the netw

adulterant

Using Kullback-Leibler Distance in Determining the Classes for the Heart Sound Signal Classificationhidden Markov models (HMMs) have been used quite successfully in the automatic classification of the heart sound signal. However, in the classification using HMMs, there are so many heart sound signal types that it is not reasonable to assign a new class to each of them. In this paper, rather than c

強有力

hieroglyphic

Distribution Feeder Load Balancing Using Support Vector Machinest future. This must of course, be done at minimum possible cost consistent with satisfactory reliability and quality of the supply. In order to avoid excessive voltage drop and minimise loss, it may be economical to install apparatus to balance or partially balance the loads. It is believed that the

高爾夫

Extracting Auto-Correlation Feature for License Plate Detection Based on AdaBoostred by previous learning-based method, is introduced to feature pool. Since that there are two types of Chinese license plate, one type is deeper-background-lighter-character and the other is lighter-background-deeper-character, training a detector cannot convergent. To avoid this problem, two detec