Reverse Hypothesis Machine Learning A Practitioner's Perspective /

• Κύριος συγγραφέας: Kulkarni, Parag (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Intelligent Systems Reference Library, 128
• Θέματα: Engineering.; Knowledge management.; Management.; Industrial management.; Computational intelligence.; Machinery.; Electronics.; Microelectronics.; Computational Intelligence.; Knowledge Management.; Machinery and Machine Elements.; Innovation/Technology Management.; Electronics and Microelectronics, Instrumentation.

This book introduces a paradigm of reverse hypothesis machines (RHM), focusing on knowledge innovation and machine learning. Knowledge- acquisition -based learning is constrained by large volumes of data and is time consuming. Hence Knowledge innovation based learning is the need of time. Since unde...

Πίνακας περιεχομένων:

• Pattern Apart
• Understanding Machine Learning Opportunities
• Systemic Machine Learning
• Reinforcement and Deep Reinforcement Machine Learning
• Creative Machine Learning
• Co-operative and Collective learning for Creative Machine Learning
• Building Creative Machines with Optimal Machine Learning and Creative Machine Learning Applications
• Conclusion – Learning Continues.