Technical reports from the Automatic Control group in Linkk oping are available by anonymous ftp at the address ftp.control.isy.liu.se. This report is contained in the compressed postscript le 2103.ps.Z. Abstract: So called subspace methods for direct identiication of linear state space models form a very useful alternative to maximum-likelihood type approaches, in that they are non-iterative a...

As the limits of uniprocessor machines are being approached, application writers and system vendors alike have been turning to multiprocessor machines for performance. The major CPU manufacturers all have recently or will shortly introduce chips with multiple cores. Such systems, along with traditional multiprocessor machines, allow all processors to simultaneously access shared memory. This re...

Statistical learning theory is at an inflection point enabled by recent advances in understanding and optimizing a wide range of metrics. Of particular interest are non-decomposable metrics such as the F-measure and the Jaccard measure which cannot be represented as a simple average over examples. Non-decomposability is the primary source of difficulty in theoretical analysis, and interestingly...

This paper introduces a modeling approach for evaluating the performance of consistency models for Virtually Shared Memory systems. The proposed approach employs Deterministic and Stochastic Petri Nets (DSPNs) which provide a unified modeling tool for both qualitative and quantitative analysis. A DSPN of a sequential consistency model is presented which is employed for a quantitative performanc...

One fundamental problem when solving inverse problems is how to find regularization parameters. This article considers this using data-driven bilevel optimization, i.e. we consider the adaptive learning of parameter from data by means optimization. approach can be interpreted as an empirical risk minimization problem, and analyze its performance in large sample size limit for general nonlinear ...