Titlebook: Machine Learning and Data Mining in Pattern Recognition; Third International Petra Perner,Azriel Rosenfeld Conference proceedings 2003 Spr

啤酒

A Fast Parallel Optimization for Training Support Vector Machineptimization step is to remove most non-support vectors quickly, which dramatically reduces the training time at the stage of sequential optimization. In addition, some strategies such as kernel caching, shrinking and calling BLAS functions are effectively integrated into the algorithm to speed up th

诱骗

A ROC-Based Reject Rule for Support Vector Machines basis of classification and error costs peculiar for the application at hand. Experiments performed with different kernels on several data sets publicly available confirmed the effectiveness of the proposed reject rule.

影响带来

钢笔尖

Authoring Cases from Free-Text Maintenance DataCBR system will be successful or not. In order to reduce human effort required for authoring the cases, we propose a framework for authoring the case from the unstructured, free-text, historic maintenance data by applying natural language processing technology. This paper provides an overview of the

HIKE

千篇一律

Simple Mimetic Classifiersm. Many practical and useful combination techniques work by using the output of several classifiers as the input of a second layer classifier. The problem of this and other multi-classifier approaches is that huge amounts of memory are required to store a set of multiple classifiers and, more import

Anguish

Microgram

Estimating a Quality of Decision Function by Empirical Riskn prediction quality, for example, an error probability. For the case of discrete “independent” variable the dependence of average risk on empirical risk for the “worst” distribution (“strategies of nature”) is obtained. The result gives exact value of empirical risk bias that allows evaluating an a

mutineer

变异