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 ...

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...

The basic problem in Target tracking is to estimate the trajectory of a object from noise corrupted measurements and hence becoming very important field of research as it has wider applications in defense as well as civilian applications. Kalman filter is generally used for such applications. When the process and measurements are non linear extensions of Kalman filters like Extended Kalman Filt...

This contribution presents a usage of Self-Tuning Controllers Simulink Library (STCSL) for real-time control. The STCSL was created for design, simulation verification and especially real-time implementation of single input single output (SISO) digital selftuning controllers. The proposed adaptive controllers what are included into a Library can be divided into three groups. The first group cov...

The majority of processes met in the industrial practice have stochastic characteristics and eventually they embody non-linear behaviour. Traditional controllers with fixed parameters are often unsuitable for such processes because their parameters change. The changes of process parameters are caused by changes in the manufacturing process, in the nature of the input materials, fuel, machinery ...

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...

Orientation{selective neurons in monkeys and cats show contrast saturation and contrast{invariant orientation tuning (1). Recently proposed models for orientation selectivity predict contrast invariant orientation tuning but no contrast saturation at high strength of intracortical recurrent couplings, whereas at lower coupling strengths the contrast response saturates but the tuning widths are ...