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Mastering Java Machine Learning: Mastering and implementing advanced techniques in machine learning
Mastering Java Machine Learning: Mastering and implementing advanced techniques in machine learning

Become an advanced practitioner with this progressive set of master classes on application-oriented machine learning

About This Book

  • Comprehensive coverage of key topics in machine learning with an emphasis on both the theoretical and practical aspects
  • More than 15 open source Java tools...
Rational and Irrational Beliefs: Research, Theory, and Clinical Practice
Rational and Irrational Beliefs: Research, Theory, and Clinical Practice

In Rational and Irrational Beliefs: Research, Theory, and Clinical Practice, leading scholars, researchers, and practitioners of rational emotive behavior therapy (REBT) and other cognitive-behavioral therapies (CBTs) share their perspectives and empirical findings on the nature of rational and irrational beliefs, the role of beliefs as...

Wireless Mesh Networks: Architectures and Protocols
Wireless Mesh Networks: Architectures and Protocols
The book includes a set of research and survey articles featuring the recent advances in theory and applications of wireless mesh networking technology which will be a significant component in the next generation (e.g., fourth generation) mobile communication networks. Wireless mesh networks consist of mesh clients and mesh routers, where the mesh...
Digital Signal Processing and Applications with the OMAP - L138 eXperimenter
Digital Signal Processing and Applications with the OMAP - L138 eXperimenter

Teaches digital signal processing concepts via hands-on examples

The OMAP-L138 eXperimenter is the latest inexpensive DSP development system to be adopted by the Texas Instruments University Program. The OMAP-L138 processor contains both ARM and DSP cores and is aimed at portable and mobile multimedia applications. This book...

Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed...
TNF Superfamily (Medical Intelligence Unit (Unnumbered))
TNF Superfamily (Medical Intelligence Unit (Unnumbered))

The tumor necrosis factor/receptor [TNF/TNFR] superfamily consists of more than 20 transmembrane proteins with conserved N-terminal cysteine-rich domains [CRDs] in the extracellular ligand binding region. Members have wide tissue distribution and play important roles in biological processes such as lymphoid and neuronal development, innate...

Correlative Learning: A Basis for Brain and Adaptive Systems (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)
Correlative Learning: A Basis for Brain and Adaptive Systems (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)
Correlative Learning: A Basis for Brain and Adaptive Systems provides a bridge between three disciplines: computational neuroscience, neural networks, and signal processing. First, the authors lay down the preliminary neuroscience background for engineers. The book also presents an overview of the role of correlation in the human brain as well as...
Handbook of Research on Web Information Systems Quality
Handbook of Research on Web Information Systems Quality
Web information systems engineering resolves the multifaceted issues of Web-based systems development; however, as part of an emergent yet prolific industry, Web site quality assurance is a continually adaptive process needing a comprehensive reference tool to merge all cutting-edge research and innovations.

The Handbook of Research on Web...

Unsupervised Signal Processing: Channel Equalization and Source Separation
Unsupervised Signal Processing: Channel Equalization and Source Separation

Unsupervised Signal Processing: Channel Equalization and Source Separation provides a unified, systematic, and synthetic presentation of the theory of unsupervised signal processing. Always maintaining the focus on a signal processing-oriented approach, this book describes how the subject has evolved and assumed a wider scope...

Field-Based Coordination for Pervasive Multiagent Systems
Field-Based Coordination for Pervasive Multiagent Systems
More and more, software systems involve autonomous and distributed software components that have to execute and interact in open and dynamic environments, such as in pervasive, autonomous, and mobile applications. The requirements with respect to dynamics, openness, scalability, and decentralization call for new approaches to software design and...
Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms: Industrial Applications
Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms: Industrial Applications
Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise in solving problems, but a definitive theoretical basis does not yet exist for...
Performance Evaluation Software: Moving Object Detection and Tracking in Videos (SpringerBriefs in Computer Science)
Performance Evaluation Software: Moving Object Detection and Tracking in Videos (SpringerBriefs in Computer Science)

Performance Evaluation Software: Moving Object Detection and Tracking in Videos introduces a software approach for the real-time evaluation and performance comparison of the methods specializing in moving object detection and/or tracking (D&T) in video processing. Digital video content analysis is an important item for...

unlimited object storage image
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