Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
We describe the Open Mind Initiative, a framework for large-scale collaborative efforts in building components of "intelligent" systems that address common-sense reasoni...
Numerous clustering algorithms, their taxonomies and evaluation studies are available in the literature. Despite the diversity of different clustering algorithms, solutions delive...
Anil K. Jain, Alexander P. Topchy, Martin H. C. La...
The framework for automatic mediation of two process models composed of semantically annotated web services is presented. Process mediation is hard because of many possible mismat...
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...