… However, none of the reported catalysts meets the requirements for any practical … of machine
learning to big data for CO2 reduction is discussed. These new powerful tools may play a …

… application of various machine learning algorithms, non-… and algorithms, data sets and
evaluation metrics used in non-intrusive … , feature extraction, hidden Markov model, deep learning …

… languages and standards, make this book an indispensable complete reference for … -solving
abilities in such areas as materials evaluation and selection, materials processes selection, …

… ∎ China’s service industry is still far behind international service standards. This reflects the
continuing dominance of SOEs in China economy: they created monopolies which are very …

… on a learning curve with regard to intercultural management and by now can also look back
at successful ventures in, for example, the automotive, the chemical and the machine tool …

… In 2015,according to the central government's requirements on new-type think tank,CASS
established the National Global Strategy Think Tank with resources from the National Institute …

… the democratization of machine learning tools and resources, the … Evaluation: For studies
involving machine learning models, … into model performance across different evaluation criteria. …

… The actinide chemistry group of the chemical sciences division … Review of completed
applications will begin January 10, … , computational biology, machine learning or largeBscale data …

… were included according to the inclusion criteria. … scientific evaluation indexes. Conclusion:
Currently, there are few researches on the application of machine learning in the evaluation …

… on a deep learning algorithm - deep convolutional neural network. MS2CNN is trained on
the National Institute of Standards and Technology MS2 spectrum dataset and evaluated on a …