Abstract— Almost all learning machines used in computational intelligence are not regular but singular statistical models, because they are nonidentifiable and their Fisher info...
We discuss the problem of generating test suites from UML state machines and present a method to extend the capabilities of existing automated test case generators. Current tools p...
Abstract. We present an autoadaptive algorithm for in-use parameter estimation of MEMS inertial accelerometers and gyros1 using multilevel quasi-static states for greater accuracy ...
This paper discusses a first attempt to investigate, using analytic means, the transmission delay and energy characteristics of a multi-state wireless sensor network. For such a ne...
We address the problem of classifying scenes from feature films into semantic categories and propose a robust framework for this problem. We propose that the Finite State Machines ...