In demonstrating the applicability of this framework, the article utilises one specific national event – the Székely Vágta (Szekler Gallop) 2 – as a clearly

Support vector machine (SVM) is a new general machine.. learning method, which was proposed by Vapnik in the 1990s based on structural risk minimization principle of

Therefore, the target architecture is structured in the ML-based process parameter prediction, in which the remaining processing time per job is predicted and in the

In proceedings of the 11th European Conference on Machine Learning.. Workshop on Machine Learning in the New

Machine learning application development to predict blood glucose level based on real time patient data..

T he situation since those early days of t he first issues of the barn book has changed quite a bit ; the literature in the field of measure- ments of neutron cross sections is

The objective of this paper is to provide a ML method to predict the release category (drop or no-drop) of the session based not only on the features measured directly preceding the

Friedel Geeraert and Márton Németh: Exploring special web archives collections related to COVID-19: The case of the National Széchényi Library in Hungary.. © The

Abstract: The purpose of this present paper is to give an equivalent theorem on Lupa¸s op- erators with ω r φ λ (f, t), where ω r φ λ (f, t) is Ditzian-Totik modulus of smoothness

A rövid idővel ez- előtt elhúnyt Arjona Sencianesben a spanyol hiva- talos statisztikai szolgálat több éven át volt veze- tőjét, a Nemzetközi Statisztikai Intézet

In the simplest configuration, the node acting as Spark Master is also the HDFS NameNode, and Spark Worker nodes are also HDFS DataNodes to enable data locality-aware processing..

This paper focuses on FOODIE services based on machine learning algorithms and other artificial intelligence techniques providing, for instance, forecasting models to predict crop

évi adománya után megindult a középső városfalvonal új kiépítése, betartva a római városfal adottságait, mind a homlokzati falsík, mind a tornyok külső alaprajzában.. A

Various machine learning methods are used for data processing and tunnel defect detection, such as image classification (identifying the content of an image), target

Keressünk példákat arra, amikor a termikus és térbeli rendezetlenség egymásba alakulnak át. Ehhez adiabatikus reverzíbilis folyamatokat kell találnunk, ahol az össz- entrópia

Scale effects Optimal output in response to changing factor prices Unconditional demand • The substitution and scale effects together Conditional compensated demand for labor

Advanced Cell Classifier software 12 trains machine-learning algorithms to automatically recognize the cellular phenotype of every cell in the sample based on their extracted

Here, we present our machine learning based uncertainty detector developed for Hungarian, a morphologically rich language, and report our results on a manually annotated