000			04407cam a2200745 i 4500
001			ocn900565386
003			OCoLC
005			20171025125148.0
006			m o d
007			cr |||||||||||
008			150116s2015 nju ob 001 0 eng
010			_a 2015002169
015			_aGBB509468 _2bnb
016	7		_a017019885 _2Uk
020			_a9781119010241 (ePub)
020			_a1119010241 (ePub)
020			_a9781119010234 (Adobe PDF)
020			_a1119010233 (Adobe PDF)
020			_z9781118893760 (hardback)
020			_a9781119010258
020			_a111901025X
020			_a111889376X
020			_a9781118893760
029	1		_aCHVBK _b334086531
029	1		_aCHBIS _b010442428
029	1		_aDEBSZ _b431874530
029	1		_aDEBBG _bBV042734461
029	1		_aNZ1 _b16078542
029	1		_aDEBSZ _b449477371
029	1		_aDEBBG _bBV043397463
029	1		_aDEBBG _bBV043891954
035			_a(OCoLC)900565386 _z(OCoLC)961632947 _z(OCoLC)962630693
040			_aDLC _beng _erda _cDLC _dN$T _dDG1 _dEBLCP _dE7B _dUKMGB _dRECBK _dYDXCP _dDEBSZ _dCOO _dOCLCO _dIDEBK _dCDX _dB24X7 _dDEBBG _dD6H _dK6U
042			_apcc
049			_aMAIN
050	0	0	_aLB1027.23
072		7	_aEDU _x001000 _2bisacsh
072		7	_aEDU _x036000 _2bisacsh
082	0	0	_a371.3 _223
084			_aTEC008060 _aTEC064000 _aCOM021030 _2bisacsh
100	1		_aCook, Diane J., _d1963-
245	1	0	_aActivity learning : discovering, recognizing, and predicting human behavior from sensor data / _cDiane J. Cook, Narayanan C. Krishnan. _h[electronic resource]
264		1	_aHoboken, NJ : _bWiley, _c2015.
300			_a1 online resource.
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
490	1		_aWiley Series on Parallel and Distributed Computing
504			_aIncludes bibliographical references and index.
505	8		_aMachine 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.
520			_a"The book provides an in-depth look at computational approaches to activity learning from sensor data"-- _cProvided by publisher.
588			_aDescription based on print version record and CIP data provided by publisher.
650		0	_aActive learning _xData processing.
650		0	_aDetectors _xData processing.
650		0	_aMultisensor data fusion.
650		7	_aTECHNOLOGY & ENGINEERING / Electronics / Digital. _2bisacsh
650		7	_aTECHNOLOGY & ENGINEERING / Sensors. _2bisacsh
650		7	_aCOMPUTERS / Database Management / Data Mining. _2bisacsh
655		4	_aElectronic books.
655		0	_aElectronic books.
776	0	8	_iPrint version: _aCook, Diane J., 1963- _tActivity learning _dHoboken, NJ : Wiley, 2015 _z9781118893760 _w(DLC) 2014039501
830		0	_aWiley series on parallel and distributed computing.
856	4	0	_uhttp://onlinelibrary.wiley.com/book/10.1002/9781119010258 _zWiley Online Library
942			_2ddc _cBK
999			_c207844 _d207844