Now showing items 202-204 of 3794

    • Noise Tolerant Algorithms for Learning and Searching 

      Aslam, Javed Alexander (1995-02)
      We consider the problem of developing robust algorithms which cope with noisy data. In the Probably Approximately Correct model of machine learning, we develop a general technique which allows nearly all PAC learning ...
    • Quantitative Performance Modeling of Scientific Computations 

      Toledo, Sivan Abraham (1995-05)
      The first part of the thesis demonstrates that the performance of programs can be predicted accurately, automatically, and rapidly using a method called benchmapping. The key aspects benchmapping are: automatic creation ...
    • Reducing Synchronization Overhead in Parallel Simulation 

      Legedza, Ulana (1995-05)
      Synchronization is often the dominant cost in conservative parallel simulation, particularly in simulations of parallel computers, in which low-latency simulated communication requires frequent synchronization. This thesis ...