Support Vector Machines (SVMs) for classification tasks produce sparse models by maximizing the margin. Two limitations of this technique are considered in this work: firstly, th...
Abstract. The aim of this paper is to present a new tool of multiple instance learning which is designed using a grammar based genetic programming (GGP) algorithm. We study its app...
Queueing Theory deals with problems where some restricted resource should be shared between competitive flow of requests. In this paper we use Queueing Theory methods to perform a...
Moon Ho Lee, Aliaksandr Birukou, Alexander N. Dudi...
Abstract. This paper introduces a semantic representation for virtual prototyping in interactive virtual construction applications. The representation reflects semantic information...
In this paper, we concentrate on distributed algorithms for automated synthesis of fault-tolerant programs in the high atomicity model, where all processes can read and write all p...
Borzoo Bonakdarpour, Sandeep S. Kulkarni, Fuad Abu...