We present an algorithm called Optimistic Linear Programming (OLP) for learning to optimize average reward in an irreducible but otherwise unknown Markov decision process (MDP). O...
This paper centers on the discussion of k-medoid-style clustering algorithms for supervised summary generation. This task requires clustering techniques that identify class-unifor...
Network delays are a fact of life when using real-time groupware over a wide area network such as the Internet. This paper looks at how network delays affect closelycoupled group w...
— This paper introduces a new benchmark tool, SPEK (Storage Performance Evaluation Kernel module), for evaluating the performance of block-level storage systems in the presence o...
In the paper we present the Progressive Probabilistic Hough Transform (PPHT). Unlike the Probabilistic Hough Transform 4] where Standard Hough Transform is performed on a pre-sele...