Now showing items 1-8 of 8

    • Comparison of multilevel methods for kronecker-based Markovian representations 

      Buchholz, P.; Dayar T. (Springer, 2004)
      The paper presents a class of numerical methods to compute the stationary distribution of Markov chains (MCs) with large and structured state spaces. A popular way of dealing with large state spaces in Markovian modeling ...
    • Comparison of partitioning techniques for two-level iterative solvers on large, sparse Markov chains 

      Dayar T.; Stewart, W. J. (SIAM, 2000)
      Experimental results for large, sparse Markov chains, especially the ill-conditioned nearly completely decomposable (NCD) ones, are few. We believe there is need for further research in this area, specifically to aid in ...
    • Iterative methods based on splittings for stochastic automata networks 

      Uysal, E.; Dayar T. (1998)
      This paper presents iterative methods based on splittings (Jacobi, Gauss-Seidel, Successive Over Relaxation) and their block versions for Stochastic Automata Networks (SANs). These methods prove to be better than the power ...
    • Lumpable continuous-time stochastic automata networks 

      Gusak, O.; Dayar, T.; Fourneau, J. M. (Elsevier, 2003-07-16)
      The generator matrix of a continuous-time stochastic automata network (SAN) is a sum of tensor products of smaller matrices, which may have entries that are functions of the global state space. This paper specifies easy ...
    • M/M/1 polling models with two finite queues 

      Daşçı, Abdullah (Bilkent University, 1995)
      Polling models are special kinds of queueing models where multiple-customer type single-stage is considered. In this thesis, first an overview and a classification of polling models will be given. Then two-costomer one ...
    • Modelling and analysis of pull production systems 

      Kırkavak, Nureddin (Bilkent University, 1995)
      A variety of production systems appearing in the literature are reviewed in order to develop a classification scheme for production systems. A number of pull production systems appearing in the classification are found ...
    • Prosody-based automatic segmentation of speech into sentences and topics 

      Shriberg, E.; Stolcke, A.; Hakkani-Tür, D.; Tür, G. (Elsevier, 2000)
      A crucial step in processing speech audio data for information extraction, topic detection, or browsing/playback is to segment the input into sentence and topic units. Speech segmentation is challenging, since the cues ...
    • Transforming stochastic matrices for stochastic comparison with the st-order 

      Dayar T.; Fourneau, J. M.; Pekergin, N. (E D P Sciences, 2003)
      We present a transformation for stochastic matrices and analyze the effects of using it in stochastic comparison with the strong stochastic (st) order. We show that unless the given stochastic matrix is row diagonally ...