KCA Khanzode, RD Sarode - … of Library & Information Science (IJLIS), 2020 - academia.edu
… detail information regarding ArtificialIntelligence and machinelearning. So … artificial intelligence and machinelearning are given. Key words: Artificialintelligence (AI), Machinelearning, …
… As artificialintelligence and machinelearning scientists have … application of machinelearning and artificialintelligence to … future artificialintelligence and machinelearning research to …
… With artificialintelligence programs that are trained on known or proven cases (“supervised” learning [6]), a robust “source of truth” for each diagnosis is required and is always required …
… The major contemporary research directions in machinelearning covered in this book include: learning from examples, modeling human learning strategies, knowledge acquisition for …
MO Riedl - Human behavior and emerging technologies, 2019 - Wiley Online Library
Humans are increasingly coming into contact with artificialintelligence (AI) and machine learning (ML) systems. Human‐centered AI is a perspective on AI and ML that algorithms must …
… and analysis by modern machinelearning (ML) methods. … of traditional ML and deep learning methods to nanosafety, … near future that allow artificialintelligence to make a deeper …
… the role of artificialintelligence (AI), machinelearning (ML), and deep reinforcement learning (… of the applications of the prior techniques in intelligent transportation systems (ITSs), cyber-…
R Cioffi, M Travaglioni, G Piscitelli, A Petrillo… - Sustainability, 2020 - mdpi.com
… This article reviews machinelearning methods for bioinformatics and it presents modelling methods. Moreover, the document year is 2006, so before I4.0 was introduced. Therefore, …
… The major contemporary research directions in machinelearning covered in this book include: learning from examples, modeling human learning strategies, knowledge acquisition for …