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We use a concept of abstract convexity to define the almost - property, al- - family, and almost -spaces.
For the risk measurement, we use a concept of VaR based on finite-time discounted net loss, which is described as follows.
To follow this observation, we develop and use a concept of the localized generalization error and show how it guides the design of the classifier.
Just as a warning to the unwary, the key to understanding the genic reinterpretation of this case is to grasp that the pluralists use a concept of genetic environment that their critics ignore.
In this paper, we use a concept of abstract convexity to define the almost - property, the corresponding notion of almost - family as well as the concept of almost -spaces.
To test for colour-blindness, we used a cognitive approach involving a harbour seal trained to use a concept of same and different.
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We used a concept of Basic Motion Patterns, which can be combined in a very flexible manner.
The second approach used a concept of accumulation, transit, and dissipation zones of the landsurface.
A feature-based method for global localization of mobile robot using a concept of matching signatures is presented.
This method used a concept of road footprints to compute the probability that a pixel is located on a road.
In this aspect, Chen and Liu [1] used a concept of openness to evaluate the interface for the sharing level of resources.
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