Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
The UPIO (User-controllable Parallel I/O) we proposed xtends the abstraction of a linear file model into an n-dimensional file model, making it possible to control the layout of d...
Jang Sun Lee, Sung Hoon Ko, Sanjay Ranka, Byung Eu...
This paper studies mobile-generated traffic distributions in mobile ATM networks and evaluates the performance of path rerouting algorithms for handoff control. In mobile ATM netwo...
We present a parallel version of BIRCH with the objective of enhancing the scalability without compromising on the quality of clustering. The incoming data is distributed in a cyc...