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Learning with Partially Labeled and Interdependent Data

Massih-Reza Amini, Nicolas Usunier
Springer International Publishing
53.49 € · Hardcover

learning to rank learning with interdependent data learning with partially labeled data machine learning multiclass learning multiview learning self-training semi-supervised learning statistical learning theory

This book develops two key machine learning principles: the semi-supervised paradigm and learning with interdependent data. It reveals new applications, primarily web related, that transgress the classical machine learning framework through learning with interdependent data. The book traces how the ...

Search for tt̄H Production in the H → bb̅ Decay Channel

Marcel Rieger
Springer International Publishing
106.99 € · Hardcover

Higgs Boson Production Tth Production Bb Channel Tth Search Tthbb Search CMS Experiment Machine Learning Neural Networks Multiclass Classification Multiclassification

In 1964, a mechanism explaining the origin of particle masses was proposed by Robert Brout, François Englert, and Peter W. Higgs. 48 years later, in 2012, the so-called Higgs boson was discovered in proton-proton collisions recorded by experiments at the LHC. Since then, its ability to interact wit...

Learning with Partially Labeled and Interdependent Data

Massih-Reza Amini, Nicolas Usunier
Springer International Publishing
53.49 € · eBook

learning to rank learning with interdependent data learning with partially labeled data machine learning multiclass learning multiview learning self-training semi-supervised learning statistical learning theory

This book develops two key machine learning principles: the semi-supervised paradigm and learning with interdependent data. It reveals new applications, primarily web related, that transgress the classical machine learning framework through learning with interdependent data. The book traces how the ...

Learning with Partially Labeled and Interdependent Data

Massih-Reza Amini, Nicolas Usunier
Springer International Publishing
53.49 € · Paperback

learning to rank learning with interdependent data learning with partially labeled data machine learning multiclass learning multiview learning self-training semi-supervised learning statistical learning theory

This book develops two key machine learning principles: the semi-supervised paradigm and learning with interdependent data. It reveals new applications, primarily web related, that transgress the classical machine learning framework through learning with interdependent data. The book traces how the ...

Search for tt̄H Production in the H → bb̅ Decay Channel

Marcel Rieger
Springer International Publishing
96.29 € · eBook

Higgs Boson Production Tth Production Bb Channel Tth Search Tthbb Search CMS Experiment Machine Learning Neural Networks Multiclass Classification Multiclassification

In 1964, a mechanism explaining the origin of particle masses was proposed by Robert Brout, François Englert, and Peter W. Higgs. 48 years later, in 2012, the so-called Higgs boson was discovered in proton-proton collisions recorded by experiments at the LHC. Since then, its ability to interact wit...

Search for tt̄H Production in the H → bb̅ Decay Channel

Marcel Rieger
Springer International Publishing
106.99 € · Paperback

Higgs Boson Production Tth Production Bb Channel Tth Search Tthbb Search CMS Experiment Machine Learning Neural Networks Multiclass Classification Multiclassification

In 1964, a mechanism explaining the origin of particle masses was proposed by Robert Brout, François Englert, and Peter W. Higgs. 48 years later, in 2012, the so-called Higgs boson was discovered in proton-proton collisions recorded by experiments at the LHC. Since then, its ability to interact wit...

XLVIII Mexican Conference on Biomedical Engineering

Springer International Publishing
213.99 € · Paperback

Bioinformatics Applications in Cancer Research Biomedical Signal Processing Deep Learning Models in Medicine Image Classification Methods Machine Learning for Medical Diagnosis Convolutional Neural Networks for Disease Classification Organ-on-chip Technology Computer Vision Application in Biology EEG Acquisition and Analysis Deep Learning-based Segmentation ECG Abnormalities Multiclass Classification methods Low-cost Assistive Technology SOMIB Sociedad Mexicana de Ingeniería Biomédica

This book reports on cutting-edge research and best practices in the broad field of biomedical engineering. Based on the XLVIII Mexican Conference on Biomedical Engineering, CNIB 2025, held on September 11-13, 2025, in Monterrey, Nuevo León, México, this first volume of the proceedings covers rese...

XLVIII Mexican Conference on Biomedical Engineering

Springer International Publishing
213.99 € · eBook

Bioinformatics Applications in Cancer Research Biomedical Signal Processing Deep Learning Models in Medicine Image Classification Methods Machine Learning for Medical Diagnosis Convolutional Neural Networks for Disease Classification Organ-on-chip Technology Computer Vision Application in Biology EEG Acquisition and Analysis Deep Learning-based Segmentation ECG Abnormalities Multiclass Classification methods Low-cost Assistive Technology SOMIB Sociedad Mexicana de Ingeniería Biomédica

This book reports on cutting-edge research and best practices in the broad field of biomedical engineering. Based on the XLVIII Mexican Conference on Biomedical Engineering, CNIB 2025, held on September 11-13, 2025, in Monterrey, Nuevo León, México, this first volume of the proceedings covers rese...

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