Nevertheless, we continue to press on with research on increasing classification accuracy. In the Machine Learning literature isolated studies suggest that it is possible to weaken this assumption and still learn effeFoster P...
For the neural network in Figure 2, the first step is to compute the values of the hidden nodes. The value of each hidden node is the hyperbolic tangent (tanh) function applied to the sum of the products of inputs and associated weights, plus the bias. For hidden[...
Savkovic, Milena,Ciric Lalic, Danijela - The International Conference on Artificial Intelligence and Applied Mathematics in Engineering 被引量: 0发表: 2024年 Machine learning in the discipline of architecture: A review on the research trends between 2014 and 2020 Through the recent technological develo...
Such a large number of studies hinders the community from understanding the current research landscape. This paper aims to summarize the current knowledge in applied machine learning for source code analysis. We review studies belonging to twelve categories of software engineering tasks and corresponding...
Such a large number of studies hinders the community from understanding the current research landscape. This paper aims to summarize the current knowledge in applied machine learning for source code analysis. We review studies belonging to twelve categories of software engineering tasks and corresponding...
Dr. James McCaffreyworks for Microsoft Research in Redmond, Wash. He has worked on several Microsoft including Internet Explorer and Bing. Dr. McCaffrey can be reached atjamccaff@microsoft.com. Thanks to the following Microsoft technical experts who reviewed this article: Brian Broll, Yi...
In this perspective, we present a non-academic view on applied research in electrochemical energy storage to help bridge the gap between academic and industrial research. We primarily consider lithium-based batteries, focusing on the automotive sector: a sector that has driven technological development...
Machine learning technologies have been extensively applied in high-performance information-processing fields. However, the computation rate of existing hardware is severely circumscribed by conventional Von Neumann architecture. Photonic approaches have demonstrated extraordinary potential for executing deep learnin...
In recent years, machine learning algorithms based on social networks have emerged and been widely applied in online public opinion research. Scholars use machine learning algorithms to study the influence of social network users, summarise user behaviour patterns through extensive training and testing of...
Substrate-catalyzed growth offers a highly promising approach for the controlled synthesis of carbon nanostructures. However, the growth mechanisms on dynamic catalytic surfaces and the development of more general design strategies remain ongoing challen