Enabling AI Applications in Data Science (Paperback)

Part I: Artificial Intelligence and Optimization.- Stochastic Proximal Gradient Algorithm with Minibatches Application to Large Scale Learning Models.- The Human Mental Search Algorithm for Solving Optimisation Problems.- Reducing Redundant Association Rules Using Type-2 Fuzzy Logic.- Identi?ability of Discrete Concentration Graphical Models with a Latent Variable.- An Automatic Classi?cation of Genetic Mutations by Exploring Different Classi?ers.- Towards Artificial Intelligence: Concepts, Applications, and Innovations.- Part II: Big Data and Artificial Intelligence Applications.- In Depth Analysis, Applications and Future Issues of Arti?cial Neural Network.- Big Data and Deep Learning in Plant Leaf Diseases Classification for Agriculture.- Machine Learning Cancer Diagnosis Based on Medical Image Size and Modalities.

Aboul-ella Hassanien (엮은이)    정보 더보기

Nour Eldeen M. Khalifa (엮은이)    정보 더보기

Mohamed Hamed N. Taha (엮은이)    정보 더보기

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