In the study, we propose a method to select components from datasets to form two kinds of categorizes {reqProcessing, noProcessing} for tempogram selector, which is built from a classifier. The research utilizes the low pass filtering (LPF) as the processing, so there are two tempogram with LPF or without LPF. The trained classifier is used to select the best out of the tempograms, which repres...

The analysis of the developmental programs that define many different neuron types in the nematode Caenorhabditis elegans has revealed common themes in how distinct terminal differentiation programs are controlled. Rather than being controlled in a piece-meal manner, terminal identity features of a mature neuron are often coregulated by so-called terminal selector transcription factors. Here, I...

While the shortest path problem has myriad applications, the computational efficiency of suitable algorithms depends intimately on the underlying problem domain. In this paper, we focus on domains where evaluating the edge weight function dominates algorithm running time. Inspired by approaches in robotic motion planning, we define and investigate the Lazy Shortest Path class of algorithms whic...

We apply the univariate sliced inverse regression (SIR) to survival data. Our approach is different from the other papers on this subject. The right-censored observations are taken into account during the slicing of the survival times by assigning each of them with equal weight to all of the slices with longer survival. We test this method with different distributions for the two main survival ...

Resistive random-access memory is one of the most promising candidates for next generation non-volatile technology. However, its crossbar array structure causes severe “sneak-path” interference, which also leads to strong inter-cell correlation. Recent works have mainly focused on sub-optimal data detection schemes by ignoring correlation and assuming sneak-path interference indep...

The product of the Drosophila extradenticle gene interacts cooperatively with homeodomain proteins encoded by homeotic selector genes, and may account in part for their distinct regulatory properties.

We present Query Selector - a sparse attention Transformer algorithm especially efficient for long-term time series forecasting. Time forecasting is an old and important area of statistical research with vast practical applications to solving real life problems. In recent years, there has been growing interest in applying Deep Learning algorithms modeling. However, the best performing algorithm...