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A classification of BL-algebras     classification  BL-algebras       font style='font-size:12px;'> 2015/9/30
A classification of BL-algebras.
Much uncertainty currently exists in the use by different workers of the term ?variability? in describing the results of statistical analyses applied to ionospheric measurement data sets and in their ...
In July 2001 an aerial survey with MIVIS (Multispectral Infrared and Visible Spectrometer) hyperspectral sensor and an in situ survey campaign were performed on Venice lagoon to map benthic macro-alga...
The aim of this research is to use hyperspectral MIVIS data to map the Posidonia oceanica prairies in a coastal lagoon (Stagnone di Marsala). It is approximately 12 km long and 2 km wide and is linked...
Many point indices have been developed to describe the El Niño/Southern Oscillation but the Multivariate ENSO Index (MEI) is considered the most representative since it links different meteorolog...
earest neighbor classification expects the class conditional probabilities to be locally constant,and suffers from bias in high dimensions. We propose a locally adaptive form of nearest neighbor class...
Hierarchical Classification using Shrunken Centroids     Hierarchical Classification  Shrunken Centroids       font style='font-size:12px;'> 2015/8/21
There are various types of classifiers that can be trained on gene expression data with class labels. Many of them have an embedded mechanism for feature selection, by which they distinguish a subset ...
Sentiment classification is the task of labeling a review document according to the polarity of its prevailing opinion (favorable or unfavorable). In approaching this problem, a model builder often ha...
Margin trees for high-dimensional classification     Maximum margin classifier  supprt vector machine  decision tree  CART       font style='font-size:12px;'> 2015/8/21
We propose a method for the classification of more than two classes, from high-dimensional features. Our approach is to build a binary decision tree in a top-down manner, using the optimal margin clas...
The identification of spatial rainfall pattern is an essential task for hydrologists, climatologists as well as regional and local planners and managers. This is due to the variability of both the tem...
Pareto optimal linear classification     Linear classifier  probability  weigh  gaussian distribution       font style='font-size:12px;'> 2015/8/10
We consider the problem of choosing a linear classifier that minimizes misclassification probabilities in two-class classification, which is a bi-criterion problem, involving a trade-off between two o...
Global land cover is a key variable in the earth system with feedbacks on climate, biodiversity and natural resources. However, global land cover data sets presently fall short of user needs in provid...
A Quantitative Littoral Classification System     Quantitative  Classification System       font style='font-size:12px;'> 2015/8/6
A general approach for quantitative classification of littoral sites has been developed. The approach uses dimensionless parameters to describe the processes in a specific area of physics (e.g., ocean...
The main objective of this paper is to develop a model which combines in the same process image classification and restoration. Image classification consists of assigning a label to each site of an ...
The Okavango delta in northwestern Botswana is an extremely complex and dynamic wetland ecosystem. The spatial information on diverse wetland features of the delta is needed for hydrological modeling...

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