Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...
Compositional semantics allow to reason about programs in an incremental way, thus providing the formal base for the development of modular data-flow analyses. The major drawback ...
For submicron integrated circuits, 3D numerical techniques are required to accurately compute the values of the interconnect capacitances. In this paper, we describe an hierarchic...
In this paper we discuss the efficient and accurate incorporation of texture maps into a hierarchical Galerkin radiosity algorithm. This extension of the standard algorithm allows...
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...