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  <titleInfo>
    <title>Activity learning : discovering, recognizing, and predicting human behavior from sensor data</title>
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  <name type="personal">
    <namePart>Cook, Diane J.</namePart>
    <namePart type="date">1963-</namePart>
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  <genre authority="">Electronic books.</genre>
  <genre authority="">Electronic books.</genre>
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    <dateIssued encoding="marc">2015</dateIssued>
    <issuance>monographic</issuance>
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    <extent>1 online resource.</extent>
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  <abstract>"The book provides an in-depth look at computational approaches to activity learning from sensor data"--</abstract>
  <tableOfContents>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.</tableOfContents>
  <note type="statement of responsibility">Diane J. Cook, Narayanan C. Krishnan.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Active learning</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Detectors</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Multisensor data fusion</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>TECHNOLOGY &amp; ENGINEERING / Electronics / Digital</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>TECHNOLOGY &amp; ENGINEERING / Sensors</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>COMPUTERS / Database Management / Data Mining</topic>
  </subject>
  <classification authority="lcc">LB1027.23</classification>
  <classification authority="ddc" edition="23">371.3</classification>
  <classification authority="bisacsh">TEC008060 TEC064000 COM021030</classification>
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    <titleInfo>
      <title>Wiley series on parallel and distributed computing</title>
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  <identifier type="isbn">9781119010241 (ePub)</identifier>
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  <identifier type="lccn">2015002169</identifier>
  <identifier type="uri">http://onlinelibrary.wiley.com/book/10.1002/9781119010258</identifier>
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