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Case Studies in Neural Data Analysis

A practical guide to neural data analysis techniques that presents sample datasets and hands-on methods for analyzing the data. As neural;

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Advanced State Space Methods for Neural and Clinical Data

This authoritative work provides an in-depth treatment of state space methods, with a range of applications in neural and clinical data;

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Neural Networks for Applied Sciences and Engineering

. Beginning with an introductory discussion on the role of neural networks in scientific data analysis, this book provides a solid foundation of basic;

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Principles Of Artificial Neural Networks

and Machine Learning.This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new;

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MATLAB Deep Learning

complex and more intelligent aspect of machine learning for modern smart data analysis and usage. What You'll Learn Use MATLAB for deep;

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Principles Of Artificial Neural Networks (3rd Edition)

architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various;

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Statistical Data Analysis For The Physical Sciences

Data analysis lies at the heart of every experimental science. Providing a modern introduction to statistics, this book is ideal for;

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Statistical Data Analysis for the Physical Sciences

Data analysis lies at the heart of every experimental science. Providing a modern introduction to statistics, this book is ideal for;

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Neural Engineering Techniques for Autism Spectrum Disorder

Neural Engineering for Autism Spectrum Disorder, Volume One: Imaging and Signal Analysis Techniques presents the latest advances in neural;

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Analyzing Ecological Data

marine biology and can be used as a template for a reader's own data analysis. Data from all case studies are available from www.highstat.com;

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Analyzing Ecological Data

marine biology and can be used as a template for a reader's own data analysis. Data from all case studies are available from www.highstat.com;

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Learning from Data

An interdisciplinary framework for learning methodologies-covering statistics, neural networks, and fuzzy logic, this book provides a;

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Introduction to Deep Learning for Healthcare

' increasing use. The authors present deep learning case studies on all data described. Deep learning models: Neural network models are a class;

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Neural Information Processing Part I

selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data;

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Neural Information Processing Part II

selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data;

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Neural Information Processing Part III

selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data;

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Neural Information Processing Part IV

selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data;

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Combinatorial Development of Solid Catalytic Materials

broader context of data analysis. It is the first book that demystifies the attractiveness of artificial neural networks, explaining its rational;

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Interactive Spatial Data Analysis

A comprehensive, data-driven introduction to modern spatial data analysis, a field which is playing an increasing role in many areas;

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Computational Intelligence in Pattern Recognition

neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining;

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Hydrological Data Driven Modelling

the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine;

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Advances in Classification and Data Analysis

structures analysis and Multidimensional Scaling Genetic algorithms and neural networks MUL TIV ARIA TE DATA ANALYSIS Factorial methods Textual data;

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Stratified Data Partitioning in Artificial Neural Network

neural networks (ANN). Researchers have proposed randomized data partitioning (RDP) and stratified data partitioning (SDP) methods for partition;

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Neural Networks And Their Applications

, digital data transmission, hybrid systems, automotive and aerospace industries, pattern analysis in clinical psychiatry, time series prediction;

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Big Data Analytics with Java

with examples and case studies * Prepare and refine data for analysis * Create charts in order to understand the data * See various real;

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State of the Art in Neural Networks and Their Applications

studies. The application of Neural Network, Artificial Intelligence, and Machine Learning methods in biomedical image analysis have resulted;

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Statistical Learning Using Neural Networks

in data mining and artificial intelligence (AI). This book brings together data analysis from statistics to computer science using neural networks.;

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