rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Activity learning
    sub title: discovering, recognizing, and predicting human behavior from sensor data
  name:
    name part: Cook, Diane J.
    name part: 1963-
    role:
      role term: creator
  name:
    name part: Ebook Library
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: nju
    date issued: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  table of contents: Machine generated contents note: 1 Introduction 2 Activities 2.1 Definitions 2.2 Classes of Activities 2.3 Additional Reading 3 Sensing 3.1 Sensors Used for Activity Learning 3.2 Sample Sensor Datasets 3.3 Features 3.4 Multisensor Fusion 3.5 Additional Reading 4 Machine Learning 4.1 Supervised Learning Framework 4.2 Naïve Bayes Classifier 4.3 Gaussian Mixture Model 4.4 Hidden Markov Model 4.5 Decision Tree 4.6 Support Vector Machine 4.7 Conditional Random Field 4.8 Combining Classifier Models 4.9 Dimensionality Reduction 4.10 Additional Reading 5 Activity Recognition 5.1 Activity Segmentation 5.2 Sliding Windows 5.3 Unsupervised Segmentation 5.4 Measuring Performance 5.5 Additional Reading 6 Activity Discovery 6.1 Zero-Shot Learning 6.2 Sequence Mining 6.3 Clustering 6.4 Topic Models 6.5 Measuring Performance 6.6 Additional Reading 7 Activity Prediction 7.1 Activity Sequence Prediction 7.2 Activity Forecasting 7.3 Probabilistic Graph-Based Activity Prediction 7.4 Rule-Based Activity Timing Prediction 7.5 Measuring Performance 7.6 Additional Reading 8 Activity Learning in the Wild 8.1 Collecting Annotated Sensor Data 8.2 Transfer Learning 8.3 Multi-Label Learning 8.4 Activity Learning for Multiple Individuals 8.5 Additional Reading 9 Applications of Activity Learning 9.1 Health 9.2 Activity-Aware Services 9.3 Security and Emergency Management 9.4 Activity Reconstruction, Expression and Visualization 9.5 Analyzing Human Dynamics 9.6 Additional Reading 10 The Future of Activity Learning Appendix: Sample Activity Data Bibliography.
  note: Diane J. Cook, Narayanan C. Krishnan.
  note: Electronic resource.
  note: Includes bibliographical references (pages 237-251) and index.
  subject:
    topic: Active learning
    topic: Data processing
  subject:
    topic: Detectors
    topic: Data processing
  subject:
    topic: Multisensor data fusion
  classification: LB1027.23 .C665 2015
  classification: 371.3
  classification: TEC008060 TEC064000 COM021030
  related item:
    title info:
      title: Activity learning
    name:
      name part: Cook, Diane J., 1963-
    origin info:
      publisher: Hoboken, NJ : Wiley, 2015
    identifier: (DLC) 2015002169
  related item:
    identifier: (DLC) 2014039501
  related item:
    title info:
      title: Wiley series on parallel and distributed computing
  identifier: 1119010241 (electronic bk.)
  identifier: 9781119010241 (electronic bk.)
  identifier: 9781118893760 (hardback)
  identifier: 111889376X (hardback)
  identifier: https://ebookcentral.proquest.com/lib/tamucs/detail.action
  record info:
    record content source: NhCcYBP
    record creation date: 151030
    record change date: 20250816222307.2
    record identifier: in00003596291