Multitask Learning – Bücher zum Thema Multitask Learning finden und kaufen

Buch Cover Multitask Learning in Science

Springer International Publishing
267.49 € · Hardcover

Multi-task learning Supervised Multi-Task Deep Learning Large Language Models Multi-Task Learning in Multimodal Foundation Models semi-supervised Multi-Task Deep Learning Unsupervised Multi-Task Deep Learning

This book offers a comprehensive exploration of multi-task learning (MTL), a pivotal paradigm in modern machine learning that emphasizes learning related tasks together rather than in isolation. By sharing representations and inductive biases, MTL can enhance data efficiency and generalization, yet ...

Multitask Learning in Science

Springer International Publishing
266.43 € · eBook

Multi-task learning Supervised Multi-Task Deep Learning Large Language Models Multi-Task Learning in Multimodal Foundation Models semi-supervised Multi-Task Deep Learning Unsupervised Multi-Task Deep Learning

This book offers a comprehensive exploration of multi-task learning (MTL), a pivotal paradigm in modern machine learning that emphasizes learning related tasks together rather than in isolation. By sharing representations and inductive biases, MTL can enhance data efficiency and generalization, yet ...

Multiview Machine Learning

Shiliang Sun, Liang Mao, Ziang Dong, Lidan Wu
Springer Singapore
149.79 € · Hardcover

Multiview Learning Data Fusion Data Integration Multi-Modal Learning Machine Learning Semi-Supervised Learning Subspace Learning Clustering Supervised Learning Active Learning Transfer Learning Multitask Learning Deep Learning View Construction

This book provides a unique, in-depth discussion of multiview learning, one of the fastest developing branches in machine learning. Multiview Learning has been proved to have good theoretical underpinnings and great practical success. This book describes the models and algorithms of multiview learni...

Federated and Transfer Learning

Springer International Publishing
171.19 € · Hardcover

Transfer Learning Federated Learning Domain Adaptation Zero-shot Learning One-shot Learning Multitask Learning Domain Confusion Self-taught Leaning Deep Learning Machine Learning

This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its connection with transfer learning a...

Domain Adaptation in Computer Vision with Deep Learning

Springer International Publishing
160.49 € · Hardcover

deep learning transfer learning domain adaptation Lifelong Learning Multitask Learning Zero-Shot Learning adversarial learning spectral methods Domain Confusion domain shift generative models maximum mean discrepancy image translation hashing feature alignment

This book provides a survey of deep learning approaches to domain adaptation in computer vision. It gives the reader an overview of the state-of-the-art research in deep learning based domain adaptation. This book also discusses the various approaches to deep learning based domain adaptation in rece...

Multiview Machine Learning

Shiliang Sun, Liang Mao, Ziang Dong, Lidan Wu
Springer Singapore
139.09 € · eBook

Multiview Learning Data Fusion Data Integration Multi-Modal Learning Machine Learning Semi-Supervised Learning Subspace Learning Clustering Supervised Learning Active Learning Transfer Learning Multitask Learning Deep Learning View Construction

This book provides a unique, in-depth discussion of multiview learning, one of the fastest developing branches in machine learning. Multiview Learning has been proved to have good theoretical underpinnings and great practical success. This book describes the models and algorithms of multiview learni...

Federated and Transfer Learning

Springer International Publishing
171.19 € · Paperback

Transfer Learning Federated Learning Domain Adaptation Zero-shot Learning One-shot Learning Multitask Learning Domain Confusion Self-taught Leaning Deep Learning Machine Learning

This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its connection with transfer learning a...

Federated and Transfer Learning

Springer International Publishing
171.19 € · eBook

Transfer Learning Federated Learning Domain Adaptation Zero-shot Learning One-shot Learning Multitask Learning Domain Confusion Self-taught Leaning Deep Learning Machine Learning

This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its connection with transfer learning a...

Recent Advances in Reinforcement Learning

Springer Berlin
53.49 € · Paperback

bayesian inference multitask learning predictive state representation real-time control recommender system algorithm analysis and problem complexity

This book constitutes revised and selected papers of the 9th European Workshop on Reinforcement Learning, EWRL 2011, which took place in Athens, Greece in September 2011. The papers presented were carefully reviewed and selected from 40 submissions. The papers are organized in topical sections onlin...

Recent Advances in Reinforcement Learning

Springer Berlin
53.49 € · eBook

bayesian inference multitask learning predictive state representation real-time control recommender system algorithm analysis and problem complexity

This book constitutes revised and selected papers of the 9th European Workshop on Reinforcement Learning, EWRL 2011, which took place in Athens, Greece in September 2011. The papers presented were carefully reviewed and selected from 40 submissions. The papers are organized in topical sections onlin...

Machine Learning and Knowledge Discovery in Databases

Springer Berlin
53.49 € · Paperback

artificial intelligence association rules clustering collaborative filtering content ranking data analytics data mining data stream mining knowledge discovery knowledge extraction knowledge representation and reasoning learning paradigms machine learning algorithms multitask learning nearest-neighbor search

This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track pap...

Machine Learning and Knowledge Discovery in Databases

Springer Berlin
53.49 € · Paperback

artificial intelligence association rules clustering collaborative filtering content ranking data analytics data mining data stream mining knowledge discovery knowledge extraction knowledge representation and reasoning learning paradigms machine learning algorithms multitask learning nearest-neighbor search

This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track pap...

Machine Learning and Knowledge Discovery in Databases

Springer Berlin
53.49 € · eBook

artificial intelligence association rules clustering collaborative filtering content ranking data analytics data mining data stream mining knowledge discovery knowledge extraction knowledge representation and reasoning learning paradigms machine learning algorithms multitask learning nearest-neighbor search

This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track pap...

Machine Learning and Knowledge Discovery in Databases

Springer Berlin
53.49 € · eBook

artificial intelligence association rules clustering collaborative filtering content ranking data analytics data mining data stream mining knowledge discovery knowledge extraction knowledge representation and reasoning learning paradigms machine learning algorithms multitask learning nearest-neighbor search

This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track pap...

Machine Learning and Knowledge Discovery in Databases

Springer Berlin
53.49 € · Paperback

artificial intelligence association rules clustering collaborative filtering content ranking data analytics data mining data stream mining knowledge discovery knowledge extraction knowledge representation and reasoning learning paradigms machine learning algorithms multitask learning nearest-neighbor search

This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track pap...

Machine Learning and Knowledge Discovery in Databases

Springer Berlin
53.49 € · eBook

artificial intelligence association rules clustering collaborative filtering content ranking data analytics data mining data stream mining knowledge discovery knowledge extraction knowledge representation and reasoning learning paradigms machine learning algorithms multitask learning nearest-neighbor search

This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track pap...

Domain Adaptation in Computer Vision with Deep Learning

Springer International Publishing
160.49 € · Paperback

deep learning transfer learning domain adaptation Lifelong Learning Multitask Learning Zero-Shot Learning adversarial learning spectral methods Domain Confusion domain shift generative models maximum mean discrepancy image translation hashing feature alignment

This book provides a survey of deep learning approaches to domain adaptation in computer vision. It gives the reader an overview of the state-of-the-art research in deep learning based domain adaptation. This book also discusses the various approaches to deep learning based domain adaptation in rece...

Medical Image Learning with Limited and Noisy Data

Springer International Publishing
128.39 € · Paperback

noisy data limited data medical images deep learning machine learning unsupervised learning data annotations semi-supervised learning self-supervised learning active learning contrastive learning multitask learning effective training efficient annotation

This book consists of full papers presented in the 2nd workshop of ”Medical Image Learning with Noisy and Limited Data (MILLanD)” held in conjunction with the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023).The 24 full papers presented we...

Domain Adaptation in Computer Vision with Deep Learning

Springer International Publishing
149.79 € · eBook

deep learning transfer learning domain adaptation Lifelong Learning Multitask Learning Zero-Shot Learning adversarial learning spectral methods Domain Confusion domain shift generative models maximum mean discrepancy image translation hashing feature alignment

This book provides a survey of deep learning approaches to domain adaptation in computer vision. It gives the reader an overview of the state-of-the-art research in deep learning based domain adaptation. This book also discusses the various approaches to deep learning based domain adaptation in rece...

Medical Image Learning with Limited and Noisy Data

Springer International Publishing
117.69 € · eBook

noisy data limited data medical images deep learning machine learning unsupervised learning data annotations semi-supervised learning self-supervised learning active learning contrastive learning multitask learning effective training efficient annotation

This book consists of full papers presented in the 2nd workshop of ”Medical Image Learning with Noisy and Limited Data (MILLanD)” held in conjunction with the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023).The 24 full papers presented we...

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