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Advances in Machine Learning Research
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$62.10
Editors: Sharad Shandilya (Virginia, US)
Book Description:
In the digital age, the field of machine learning has lived up to its promise of learning from and leveraging data in diverse fields, creating knowledge and driving decisions. This book intends to detail advances in the state-of-the-art in machine learning, one of the fastest emerging fields in the industry and one of the most popular fields of research in computational sciences. The roots of machine learning methods can be traced back to both statistics and computer science. Its story continues to evolve and the future is set to be greatly influenced through ML’s contributions to the human knowledge-base as well as the economic engine.
Applied machine learning research enthuses the masses with applications such as video games that interact through a camera, self-driving cars, etc. At the same time, more basic machine learning research holds the potential to impact knowledge elicitation, learning, predictions, decisions, and optimizations in fields ranging from environmental/biomedical/clinical informatics on one hand to online retail and search on the other. Accordingly, the contents of this volume are geared to present a full-color palette consisting of improved optimization algorithms, novel ANN design architectures, along with customized methods for mining an environmental dataset, pattern recognition in images, and for improved document and text search. While many out-of-the-box implementations of machine learning algorithms are currently available, customized methods developed by honed and innovative researchers continue to provide significant improvements in various contexts. Advancements through basic research continue to break the barriers of the extent of ML’s contribution to the world. (Imprint: Novinka)

Table of Contents:
Preface pp.vii-x

Chapter 1. Enhancing Document Search with a Dynamic Artificial Neural Network
(M. Ghiassi, M. Olschimke, Santa Clara University, Santa Clara, CA, US, Dörffler + Partner GmbH, Mühlhausen, Germany)pp.1-34

Chapter 2. Combination of Depth and Texture Descriptors for Gesture Recognition
(Loris Nanni, Alessandra Lumini, Fabio Dominio, Mauro Donadeo and Pietro Zanuttigh, Department of Information Engineering,
University of Padova, Padova, and DISI, University of Bologna, Cesena, Italy)pp.35-64

Chapter 3. Optimization for Multi-Layer Perceptron: Without the Gradient
(Bojan Ploj)pp.65-112

Chapter 4. Prediction of Cyanotoxin Production along with Cyanobacteria Presence Using Genetic Algorithms and Multivariate Adaptive Regression Splines
(J.R. Alonso Fernández, C. Díaz Muñiz, P.J. García Nieto, F. Sánchez Lasheras and F.J. de Cos Juez, Cantabrian Basin Authority, Ministry of Agriculture, Food and Environment, and University of Oviedo, Spain)
pp.113-134
Index pp.137-143

   Series:
      Engineering Tools, Techniques and Tables
   Binding: Softcover
   Pub. Date: 2014 - 3rd Quarter
   Pages: 153. 6x9 - (NBC-C)
   ISBN: 978-1-63321-209-1
   Status: AV
  
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
  
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02.The Humanities: Past, Present and Future
03.The Poles: Myths and Reality
04.Child-Rearing: Practices, Attitudes and Cultural Differences
05."A Home Away from Home": A Community of International and South African University Students
06.Palliative Care: Oncology Experience from Hong Kong
07.The Enigma of Autism: Genius, Disorder or Just Different?
08.The Collector Mentality: Modernization of the Hunter-Gatherer
09.Face Processing: Systems, Disorders and Cultural Differences
10.Occurrences, Structure, Biosynthesis, and Health Benefits Based on Their Evidences of Medicinal Phytochemicals in Vegetables and Fruits. Volume 8
11.Crystal Growth: Concepts, Mechanisms and Applications
12.The Economic, Social and Political Impact of Mining on Akyem Abuakwa from the Pre-Colonial Era up to 1943

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Advances in Machine Learning Research