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...

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 ...

Clustering multi-dense large scale high dimensional numeric datasets is a challenging task duo to high time complexity of most clustering algorithms. Nowadays, data collection tools produce a large amount of data. So, fast algorithms are vital requirement for clustering such data. In this paper, a fast clustering algorithm, called Dimension-based Partitioning and Merging (DPM), is proposed. In ...

We present an adaptive cross-product algorithm for tracking the direction to a moving source using an electromagnetic vector sensor and analyze its performance. We then propose a multiple forgetting factor variant of the same algorithm, which has self-tuning capability. Numerical examples are included.