Results 241 to 250 of about 3,073,916 (262)
Some of the next articles are maybe not open access.

Geomembranes: Classification, use and performance

Geotextiles and Geomembranes, 1984
Abstract The first applications of rubber-like and polymeric man-made materials, as linings of canals and reservoirs, were introduced about 40 years ago. Since then these materials have played an increasingly important role in modern civil engineering and especially in water conservation, agriculture and industrial water pollution control.
openaire   +1 more source

Misregistration Effects On Classification Performance

SPIE Proceedings, 1987
An analytical investigation is described which relates errors in spatial registration of multispectral and multitemporal data sets to error in classification. Of particular interest is the classification of large areas of crops. Misregis-tration effects on the statistics of field-center and boundary pixels are studied.
openaire   +1 more source

Measuring Performance in Classification Models

2013
When predicting a categorical outcome, some measure of classification accuracy is typically used to evaluate the model’s effectiveness. However, there are different ways to measure classification accuracy, depending of the modeler’s primary objectives. Most classification models can produce both a continuous and categorical prediction output.
Max Kuhn, Kjell Johnson
openaire   +1 more source

Improving classification performance using metaclasses

SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483), 2004
In this paper we propose a new methodology to improve the performance of classifiers on relatively difficult classification problems with complex boundaries between classes, overlapping classes, and a lack of sufficient number of samples for some classes. We investigate the use of contextual information to overcome such problems, especially in the case
openaire   +1 more source

Performance Prediction for Classification Systems

1999
Performance prediction for classification systems is important. We present new techniques for such predictions in settings where data items are to be classified into two categories. Our results can be integrated into existing classification systems and provide an accurate and predictable tool for data mining.
openaire   +1 more source

Performance of Automated Image Classification

SSRN Electronic Journal, 2022
Keno Tetzlaff   +2 more
openaire   +1 more source

Performance Analysis of Classification Algorithms

2023
A. Prakash, Vijender Kumar Solanki
openaire   +1 more source

Home - About - Disclaimer - Privacy