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Independent Component Analysis

A comprehensive introduction to ICA for students and practitioners Independent Component Analysis (ICA) is one of the most exciting new;

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Independent Component Analysis

Independent Component Analysis (ICA) has recently become an important tool for modelling and understanding empirical datasets. It is a;

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Advances in Independent Component Analysis and Learning Machines

In honour of Professor Erkki Oja, one of the pioneers of Independent Component Analysis (ICA), this book reviews key advances in the;

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Independent Component Analysis (ICA)

exploited. From the plethora of techniques proposed to achieve those objectives, the independent component analysis (ICA) has emerged as a flexible;

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Blind Source Separation

model and fairly new but relatively established blind source separation algorithms, such as Independent Component Analysis (ICA) and its;

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Source Separation and Machine Learning

whole system. Looking at different models, including independent component analysis (ICA), nonnegative matrix factorization (NMF), nonnegative;

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Self-Organizing Federalism

systems whenever decisions by one independent formal authority do not consider costs or benefits imposed on others. The ICA framework analyzes;

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Biomedical Signal Analysis

, including continuous and discrete Fourier transforms, independent component analysis (ICA), dependent component analysis, neural networks, and fuzzy;

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Brain Dynamics and Behavioral Basis of a Higher Level Cognitive Task

represented in different visual qualities.Two novel methods, principal components analysis (PCA) and independent component analysis (ICA), were;

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Advanced Signal Processing on Event-Related Potentials

. The book proposes systematic approaches pre-process wavelet transform (WT), independent component analysis (ICA), and nonnegative tensor;

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Latent Variable Analysis and Signal Separation

This book constitutes the proceedings of the 13th International Conference on Latent Variable Analysis and Signal Separation, LVAICA 2017;

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Brain Signals

and TRAP-MUSIC, which removes the RAP dilemma; independent component analysis (ICA); and blind source separation (BSS) with joint;

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Legal Interpretation in International Commercial Arbitration

This book fills a gap in legal academic study and practice in International Commercial Arbitration (ICA) by offering an in-depth analysis;

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Legal Interpretation in International Commercial Arbitration

This book fills a gap in legal academic study and practice in International Commercial Arbitration (ICA) by offering an in-depth analysis;

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Machine Learning for Future Fiber-Optic Communication Systems

-maximization (EM) algorithm, principal component analysis (PCA), independent component analysis (ICA), reinforcement learning, and more Covers;

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On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling

component analysis mixture modelling (ICAMM). This thesis defines a novel formalism for pattern recognition and classification based on ICAMM, which;

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History of Cartography

This volume comprises the proceedings of the 2010 International Symposium of the ICA Commission on the History of Cartography. The;

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Ica

In de roman 'Ica' speelt schrijfster Eva Posthuma de Boer een spannend spel met feit en fictie. Wanneer Nadine Sprenger als debutante;

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Principal Component Analysis

Principal Component Analysis is een boek van Nova Science Publishers;

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Intelligent Autonomy for Unmanned Marine Vehicles: Robotic Control Architecture Based on Service-Oriented Agents

This book presents an Intelligent Control Architecture (ICA) to enable multiple collaborating marine vehicles to autonomously carry out;

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Live At the Ica . QUEEN ADREENA, CD

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Transient Electromagnetic-Thermal Nondestructive Testing

covered, as are advanced algorithms, principal components analysis (PCA), independent components analysis (ICA) and support vector machine (SVM;

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Machine Learning Algorithms

libraries, such as scikit-learn, NLTK, TensorFlow, and Keras. You will discover new topics such as principal component analysis (PCA), independent;

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Ica (Printing-On-Demand). Posthuma de Boer, Eva, Paperback

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Generalized Structured Component Analysis

structured component analysis is an alternative to two longstanding approaches to structural equation modeling: covariance structure analysis and;

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Generalized Structured Component Analysis

, generalized structured component analysis is an alternative to two longstanding approaches to structural equation modeling: covariance structure;

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Mechanics

build confidence, and prepares students appropriately for the component assessment.;The books are designed to support both independent and;

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