- Chapter 1. Introduction -- Chapter 2. The disciplinary landscape -- Chapter 3. Understanding interdisciplinarity -- Chapter 4. Interdisciplinary interaction -- Chapter 5. Knowledge exchange in initial meetings -- Chapter 6. The collaborative construction of knowledge -- Chapter 7. Disciplinary identity -- Chapter 8. How leadership works -- Chapter 9. Conclusion.This book uncovers exactly what…
aMachine Learning Theory and Methods -- A Review of Parameter Learning Methods in Bayesian Network -- The Hard-Cut EM Algorithm for Mixture of Sparse Gaussian Processes -- Maximum Principle in the Unbounded Domain of Heisenberg Type -- An Epidemic Propagation Model with Saturated Infection Rate on a Small World Network -- Granular Twin Support vector Machines based on Mixture Kernel -- Detectin…
Jurnal Teflin Vol 30 Number 2 July 2019 (Rak 8 - O : Bahasa, sastra & budaya)
disertai CD di R. pengetikan lt. 1 utara
hal. 361-369
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