We show that a self-tuning mechanism of the cosmological constant could work in 5D non-compact space with Z 2 symmetry with scalar kinetic energy term. The standard model matter fields live only on the 4 dimensional (4D) brane. The change of vacuum energy on the brane (brane cosmological constant) by, for instance, electroweak and QCD phase transitions, just gives rise to dynamical shifts of th...

In this paper we describe the architecture{speci c automatic performance tuning implemented in the UHFFT library. The UHFFT library is an adaptive and portable software library for fast Fourier transforms (FFT).

This paper refers to our prosperous development of algorithms for detecting keywords in continuous speech. Two different approaches to define confidence measures are introduced. As an advantage, these definitions are theoretically calculable without artful tuning. Moreover, two distinct decoding algorithms are presented, that incorporate these confidence measures into the search procedure. One ...

Monitoring of program behavior is a basic necessity for performance tuning and debugging. A major problem is the overhead associated with the monitoring tasks, which influences the program’s behavior and affects the observation results. At the same time, a certain amount of data is needed for the program analysis activities. For this reason, monitoring approaches have to balance the amount of o...

A class of modi®ed state space self-tuning controllers of the minimum state error variance type was considered. A suitable chosen structure of the proposed controller allows the tracking of a time-varying reference input and makes a possibility of applying this solution to nonlinear and non-stationar y plants. The advantage in using the proposed algorithm for nonlinear systems’ control is demon...

Problem of parameterization of multi-output autoregressive regressive Gaussian model (ARX) is studied in the context of prior design of adaptive controllers. The substantial role of prior distribution of unknown parameters on the parameterization is demonstrated. Among several parameterizations a nontraditional one is advocated which • makes it possible to model the system output entry-wise, th...

Many papers have been published on the knowledge base completion task in the past few years. Most of these introduce novel architectures for relation learning that are evaluated on standard datasets such as FB15k and WN18. This paper shows that the accuracy of almost all models published on the FB15k can be outperformed by an appropriately tuned baseline — our reimplementation of the DistMult m...

Despite the good results provided by Dynamic Classifier Selection (DCS) mechanisms based on local accuracy in a large number of applications, the performances are still capable of improvement. As the selection is performed by computing the accuracy of each classifier in a neighbourhood of the test pattern, performances depend on the shape and size of such a neighbourhood, as well as the local d...

I give a review on the self-tuning solution[1] of the cosmological constant in a 5D RS-II model using a three index antisymmetric tensor field AMNP . The three index antisymmetric tensor field can be the fundamental one appearing in 11D supergravity. Also, the dual of its field strength HMNPQ, being a massless scalar, may be interpreted as a Goldstone boson of some spontaneously broken global s...