… We give a first rigorous characterization of Operational Design Domains (ODDs) for Machine Learning (ML)-based aeronautical products. Unlike in other … and higher levels of the system hierarchy; the learning assurance processes that may …
safecomp 2023: 227-242 [doi]… that the detection of voice disorders can be carried out by utilizing machine learning … popularity of deep learning and feature learning, this study explores … of deep learning and feature learning for the automatic recognition of voice disorder …
In Proceedings of the International Conference on Semantic Computing ({ICSC}). 2019:… Computational models of the artificial intelligence such as soft set theory have several applications. Soft data reduction can be considered as a machine learning technique for features selection. In this paper, we present …
icica 2010: 253-260 [doi]… Inverse problems are very frequent in computer vision and machine learning applications. Since noteworthy hints can be obtained from motion data, it is important to seek more robust models. The advantages of using a more general …
International Journal of Computer Applications, 51(19):17-24, 2012. [doi]… processing jobs for search engines and machine learning.
However,this model … of commodity machines. Through a simple interface with two functions, map and reduce …
SIGMOD 2007: 1029-1040 [doi]… of machine learning algorithm. The method generates recommendations based …
er 2002: 471-484 [doi]… towards the specific area of e-business. We show how using machine learning …
JCDL 2003: 199-209 [doi]… research interests include information retrieval and machine learning. Dr. Lawrence …
widm 2002: 55 [doi]