Graph Attention Networks – Bücher zum Thema Graph Attention Networks finden und kaufen

Deep Learning in Natural Language Processing

Springer Singapore
192.59 € · Hardcover

Deep Learning Natural Language Processing Recurrent Neural Networks Speech Language Understanding Dialogue Systems Parsing Machine Translation Knowledge Graph Question Answering Sentiment Analysis Social Computing Natural Language Generation Image Captioning Neural Embedding Sequence-to-Sequence

In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP)...

Introduction to Deep Learning for Healthcare

Cao Xiao, Jimeng Sun
Springer International Publishing
64.19 € · Hardcover

Deep learning healthcare applications deep neural networks Clinical predictive model x-ray classification clinical natural language processing modeling clinical notes EEG ECG drug discovery convolutional neural networks recurrent neural networks embedding methods autoencoder attention models

This textbook presents deep learning models and their healthcare applications. It focuses on rich health data and deep learning models that can effectively model health data. Healthcare data: Among all healthcare technologies, electronic health records (EHRs) had vast adoption and a significant impa...

Recent Trends in Modelling the Continuous Time Series Using Deep Learning

Mansura Habiba, Barak A. Pearlmutter, Mehrdad Maleki
Springer International Publishing
171.19 € · Hardcover

Continuous Time Series Analysis Neural Ordinary Differential Equations (Neural ODEs) Neural Stochastic Differential Equations (Neural SDEs) Time Series Forecasting Multivariate Time Series Generative Models for Time series Probabilistic Forecasting Transformer Architecture, Graph Neural Networks Attention Mechanisms Quantum-Hybrid Neural Networks

This book presents the first unified, practical framework for continuous-time series analysis using state-of-the-art neural architectures. Moving beyond traditional discrete-time methods, it directly addresses real-world challenges such as irregular sampling, asynchronous observations, and hidden sy...

Octonion Sparse-Based Image Processing

De Gruyter
159.95 € · Hardcover

Multispectral Processing Color Image Processing Multimodal Fusion Graph Attention Networks Feature Extraction Multispektrale Verarbeitung Farb-Bildverarbeitung Multimodale Fusion Graph Attention Netzwerke Extraktion von Merkmalen

This book uncovers the innovative features of complex algebra i.e., the octonion -sparse concept in image processing and how it can help in improving the computational efficiency of image processing.It deals with the most common octonion convolution neural network, quaternion wavelet, and sparse rep...

Textual Emotion Classification Using Deep Broad Learning

Sancheng Peng, Lihong Cao
Springer International Publishing
171.19 € · Hardcover

BERT Broad Learning Cascading Broad Learning Context Encoding Deep Learning Domain Adaptation Dual Broad Learning Emotion Classification Neural Networks Rational Graph Attention Network Sentiment Analysis Social Network Analysis Textual Conversations Textual Emotion

In this book, the authors systematically and comprehensively discuss textual emotion classification by using deep broad learning. Since broad learning possesses certain advantages such as simple network structure, short training time and strong generalization ability, it is a new and promising frame...

Octonion Sparse-Based Image Processing

De Gruyter
159.95 € · eBook

Multispectral Processing Color Image Processing Multimodal Fusion Graph Attention Networks Feature Extraction Multispektrale Verarbeitung Farb-Bildverarbeitung Multimodale Fusion Graph Attention Netzwerke Extraktion von Merkmalen

This book uncovers the innovative features of complex algebra i.e., the octonion -sparse concept in image processing and how it can help in improving the computational efficiency of image processing.It deals with the most common octonion convolution neural network, quaternion wavelet, and sparse rep...

Introduction to Deep Learning for Healthcare

Cao Xiao, Jimeng Sun
Springer International Publishing
64.19 € · Paperback

Deep learning healthcare applications deep neural networks Clinical predictive model x-ray classification clinical natural language processing modeling clinical notes EEG ECG drug discovery convolutional neural networks recurrent neural networks embedding methods autoencoder attention models

This textbook presents deep learning models and their healthcare applications. It focuses on rich health data and deep learning models that can effectively model health data. Healthcare data: Among all healthcare technologies, electronic health records (EHRs) had vast adoption and a significant impa...

Deep Learning in Natural Language Processing

Springer Singapore
192.59 € · Paperback

Deep Learning Natural Language Processing Recurrent Neural Networks Speech Language Understanding Dialogue Systems Parsing Machine Translation Knowledge Graph Question Answering Sentiment Analysis Social Computing Natural Language Generation Image Captioning Neural Embedding Sequence-to-Sequence

In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP)...

Deep Learning in Natural Language Processing

Springer Singapore
192.59 € · eBook

Deep Learning Natural Language Processing Recurrent Neural Networks Speech Language Understanding Dialogue Systems Parsing Machine Translation Knowledge Graph Question Answering Sentiment Analysis Social Computing Natural Language Generation Image Captioning Neural Embedding Sequence-to-Sequence

In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP)...

Introduction to Deep Learning for Healthcare

Cao Xiao, Jimeng Sun
Springer International Publishing
64.19 € · eBook

Deep learning healthcare applications deep neural networks Clinical predictive model x-ray classification clinical natural language processing modeling clinical notes EEG ECG drug discovery convolutional neural networks recurrent neural networks embedding methods autoencoder attention models

This textbook presents deep learning models and their healthcare applications. It focuses on rich health data and deep learning models that can effectively model health data. Healthcare data: Among all healthcare technologies, electronic health records (EHRs) had vast adoption and a significant impa...

Octonion Sparse-Based Image Processing

De Gruyter
159.95 € · eBook

Multispectral Processing Color Image Processing Multimodal Fusion Graph Attention Networks Feature Extraction Multispektrale Verarbeitung Farb-Bildverarbeitung Multimodale Fusion Graph Attention Netzwerke Extraktion von Merkmalen

This book uncovers the innovative features of complex algebra i.e., the octonion -sparse concept in image processing and how it can help in improving the computational efficiency of image processing.It deals with the most common octonion convolution neural network, quaternion wavelet, and sparse rep...

Recent Trends in Modelling the Continuous Time Series Using Deep Learning

Mansura Habiba, Barak A. Pearlmutter, Mehrdad Maleki
Springer International Publishing
171.19 € · eBook

Continuous Time Series Analysis Neural Ordinary Differential Equations (Neural ODEs) Neural Stochastic Differential Equations (Neural SDEs) Time Series Forecasting Multivariate Time Series Generative Models for Time series Probabilistic Forecasting Transformer Architecture, Graph Neural Networks Attention Mechanisms Quantum-Hybrid Neural Networks

This book presents the first unified, practical framework for continuous-time series analysis using state-of-the-art neural architectures. Moving beyond traditional discrete-time methods, it directly addresses real-world challenges such as irregular sampling, asynchronous observations, and hidden sy...

Textual Emotion Classification Using Deep Broad Learning

Springer International Publishing
171.19 € · eBook

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