This
book presents important research findings and recent innovations in the field
of machine learning and signal processing. A wide range of topics relating to machine
learning and signal processing techniques and their applications are addressed in
order to provide both researchers and practitioners with a valuable resource
documenting the latest advances and trends. The book comprises a careful
selection of the papers submitted to the 2015 International Conference on Machine
Learning and Signal Processing (MALSIP 2015), which was held on 15-17 December
2015 in Ho Chi Minh City, Vietnam with the aim of offering researchers,
academicians, and practitioners an ideal opportunity to disseminate their
findings and achievements. All of the included contributions were chosen by
expert peer reviewers from across the world on the basis of their interest to
the community. In addition to presenting the latest in design, development, and
research, the book provides access to numerous new algorithms for machine
learning and signal processing for engineering problems.