Abstract Supervised classification is one of the tasks most frequently carried out by socalled Intelligent Systems. Thus, a large number of techniques have been developed based on ...
Sotiris B. Kotsiantis, Ioannis D. Zaharakis, Panay...
Traditionally, machine learning algorithms have been evaluated in applications where assumptions can be reliably made about class priors and/or misclassification costs. In this pa...
ML modules and Haskell type classes have proven to be highly effective tools for program structuring. Modules emphasize explicit configuration of program components and the use of...
Manuel M. T. Chakravarty, Gabriele Keller, Simon L...
Abstract The most difficult and time consuming activity to perform during view integration is to find correspondences between different view specifications. Such correspondences...
Ernst Ellmer, Christian Huemer, Dieter Merkl, G&uu...
In this work we propose a probabilistic model for generic object classification from raw range images. Our approach supports a validation process in which classes are verified usi...