We prove the statistical consistency of kernel Partial Least Squares Regression applied to a bounded regression learning problem on a reproducing kernel Hilbert space. Partial Lea...
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data...
This work extends the game-based framework of µ-calculus model checking to the multi-valued setting. In multi-valued model checking a formula is interpreted over a Kripke structur...
Abstract. This paper addresses the state explosion problem in automata based LTL model checking. To deal with large space requirements we turn to use a distributed approach. All th...
While implicit invocation (publish-subscribe) systems have goodengineering properties, they are difficult toreason about and to test. Model checking such systems is an attractive...