Abstract. Semantic Web Services can be seen as remote Problem Solving Methods offered via the Web through platform and language independent interfaces. They can be seamlessly inte...
Carlos Pedrinaci, Ziv Baida, Hans Akkermans, Amaia...
We investigate in this article the rigid registration of large sets of points, generally sampled from surfaces. We formulate this problem as a general Maximum-Likelihood (ML) estim...
Database columns are often correlated, so that cardinality estimates computed by assuming independence often lead to a poor choice of query plan by the optimizer. Multidimensional...
Utkarsh Srivastava, Peter J. Haas, Volker Markl, M...
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...