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Transfer Learning through Embedding Spaces provides a brief background on transfer learning and then focus on the idea of transferring knowledge through... Læs mere
The book stresses empirical studies to highlight research gaps, providing constructive feedback on existing research to aid software engineering researchers by providing code and software engineering data sets.
In this international cross-disciplinary collaboration, leading experts explore connections across their respective fields. The book offers an insight... Læs mere
The book is intended for practitioners in data science and data analytics in both academic and business environments. It aims to present the reader with concepts in data science and analytics that were deemed to be more advanced or simply out of scope in the author's first book.
Unit Integration Testing (UIT) had been a challenge because there had been no one tool that helped in XHR programming and unit integration validations in an... Læs mere
This book can be used to write parallel programs using Fortran language (2018) using Coarray, OpenMP and MPI. The first part of the book can be used to learn the... Læs mere
Machine learning algorithms hold out extraordinary promise, but the reality is that their success depends entirely on the suitability of the data... Læs mere
Offers a treatment of data flow analysis technique. This book includes interprocedural data flow analysis. It provides coverage of analysis beyond bit vectors. It... Læs mere
This book meant for students, scientists and engineers to help in the application of evolutionary algorithms to practical optimization... Læs mere
Describes a lightweight, open source infrastructure, called QP that enables direct manual coding UML statecharts and... Læs mere
This book compares designs variant and emphasizes the strategic use of types in object-oriented design (OOD). In addition to thorough content coverage, many design... Læs mere