04407cam a2200745 i 4500 ocn900565386 OCoLC 20171025125148.0 m o d cr ||||||||||| 150116s2015 nju ob 001 0 eng 2015002169 GBB509468 bnb 017019885 Uk 9781119010241 (ePub) 1119010241 (ePub) 9781119010234 (Adobe PDF) 1119010233 (Adobe PDF) 9781118893760 (hardback) 9781119010258 111901025X 111889376X 9781118893760 CHVBK 334086531 CHBIS 010442428 DEBSZ 431874530 DEBBG BV042734461 NZ1 16078542 DEBSZ 449477371 DEBBG BV043397463 DEBBG BV043891954 (OCoLC)900565386 (OCoLC)961632947 (OCoLC)962630693 DLC eng rda DLC N$T DG1 EBLCP E7B UKMGB RECBK YDXCP DEBSZ COO OCLCO IDEBK CDX B24X7 DEBBG D6H K6U pcc MAIN LB1027.23 EDU 001000 bisacsh EDU 036000 bisacsh 371.3 23 TEC008060 TEC064000 COM021030 bisacsh Cook, Diane J., 1963- Activity learning : discovering, recognizing, and predicting human behavior from sensor data / Diane J. Cook, Narayanan C. Krishnan. [electronic resource] Hoboken, NJ : Wiley, 2015. 1 online resource. text rdacontent computer rdamedia online resource rdacarrier Wiley Series on Parallel and Distributed Computing Includes bibliographical references and index. 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. "The book provides an in-depth look at computational approaches to activity learning from sensor data"-- Provided by publisher. Description based on print version record and CIP data provided by publisher. Active learning Data processing. Detectors Data processing. Multisensor data fusion. TECHNOLOGY & ENGINEERING / Electronics / Digital. bisacsh TECHNOLOGY & ENGINEERING / Sensors. bisacsh COMPUTERS / Database Management / Data Mining. bisacsh Electronic books. Electronic books. Print version: Cook, Diane J., 1963- Activity learning Hoboken, NJ : Wiley, 2015 9781118893760 (DLC) 2014039501 Wiley series on parallel and distributed computing. http://onlinelibrary.wiley.com/book/10.1002/9781119010258 Wiley Online Library ddc BK 207844 207844