1.

Record Nr.

UNINA990001771460403321

Autore

Luzzati, Ada

Titolo

Effetto di tensioattivi su alcune specie vegetali : nota 3 : esperienza in campo su patate (Solanum tuberosum) / Ada Luzzati

Pubbl/distr/stampa

Chieri : [s.e.], 1974

Descrizione fisica

p. 112-122 ; 24 cm

Disciplina

581.13

Locazione

FAGBC

Collocazione

60 OP. 93/13

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Estr. da: Bollettino dei Laboratori Chimici Provinciali, 25(1974), n. 6.

2.

Record Nr.

UNISALENTO991003911129707536

Autore

Abidin, Richard R.

Titolo

PSI-4 : Parenting stress index-fourth edition : manuale / Richard R. Abidin ; adattato alla popolazione italiana da Angela Guarino ... [et al.]

Pubbl/distr/stampa

Firenze : Giunti O.S., 2016 (ristampa 2019)

Titolo uniforme

Parenting stress index 1769662

ISBN

9788809994904

Descrizione fisica

177 p. ; 30 cm + questionari in forma estesa e fogli di risposta

Altri autori (Persone)

Guarino, Angela

Disciplina

150.287

Soggetti

Test psicologici

Lingua di pubblicazione

Non definito

Formato

Materiale a stampa

Livello bibliografico

Monografia



3.

Record Nr.

UNINA9910813786103321

Autore

Cook Diane J. <1963->

Titolo

Activity learning : discovering, recognizing, and predicting human behavior from sensor data / / Diane J. Cook, Narayanan C. Krishnan

Pubbl/distr/stampa

Hoboken, New Jersey : , : John Wiley & Sons, Inc., , 2015

©2015

ISBN

1-119-01025-X

1-119-01023-3

1-119-01024-1

Descrizione fisica

1 online resource (282 p.)

Collana

Wiley Series on Parallel and Distributed Computing

Classificazione

TEC008060TEC064000COM021030

Disciplina

371.3

Soggetti

Active learning - Data processing

Detectors - Data processing

Multisensor data fusion

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

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 Na&iuml;ve 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.

Sommario/riassunto

"The book provides an in-depth look at computational approaches to activity learning from sensor data"--