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[null,"1.","Record Nr.",null,"UNINA9910143693003321"]
[null,null,"Autore",null,"Duin Robert"]
[null,null,"Titolo",null,"Classification, parameter estimation, and state estimation [[electronic resource] ] : an engineering approach using MATLAB / / F. van der Heijden ... [et al.]"]
[null,null,"Pubbl/distr/stampa",null,"Chichester, West Sussex, Eng. ; ; Hoboken, NJ, : Wiley, c2004"]
[null,null,"ISBN",null,"1-280-26895-6"]
[{"$nulls":4},"9786610268955"]
[{"$nulls":4},"0-470-09015-4"]
[{"$nulls":4},"1-60119-496-X"]
[{"$nulls":4},"0-470-09014-6"]
[null,null,"Edizione",null,"[1st edition]"]
[null,null,"Descrizione fisica",null,"1 online resource (441 p.)"]
[null,null,"Disciplina",null,"620.0015118"]
[{"$nulls":4},"681/.2"]
[null,null,"Soggetti",null,"Engineering mathematics - Data processing"]
[{"$nulls":4},"Measurement - Data processing"]
[{"$nulls":4},"Estimation theory - Data processing"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Classification, Parameter Estimation and State Estimation; Contents; Preface; Foreword; 1 Introduction; 1.1 The scope of the book; 1.1.1 Classification; 1.1.2 Parameter estimation; 1.1.3 State estimation; 1.1.4 Relations between the subjects; 1.2 Engineering; 1.3 The organization of the book; 1.4 References; 2 Detection and Classification; 2.1 Bayesian classification; 2.1.1 Uniform cost function and minimum error rate; 2.1.2 Normal distributed measurements;  linear and quadratic classifiers; 2.2 Rejection; 2.2.1 Minimum error rate classification with reject option"]
[{"$nulls":4},"2.3 Detection: the two-class case2.4 Selected bibliography; 2.5 Exercises; 3 Parameter Estimation; 3.1 Bayesian estimation; 3.1.1 MMSE estimation; 3.1.2 MAP estimation; 3.1.3 The Gaussian case with linear sensors; 3.1.4 Maximum likelihood estimation; 3.1.5 Unbiased linear MMSE estimation; 3.2 Performance of estimators; 3.2.1 Bias and covariance; 3.2.2 The error covariance of the unbiased linear MMSE estimator; 3.3 Data fitting; 3.3.1 Least squares fitting; 3.3.2 Fitting using a robust error norm; 3.3.3 Regression; 3.4 Overview of the family of estimators; 3.5 Selected bibliography"]
[{"$nulls":4},"3.6 Exercises4 State Estimation; 4.1 A general framework for online estimation; 4.1.1 Models; 4.1.2 Optimal online estimation; 4.2 Continuous state variables; 4.2.1 Optimal online estimation in linear-Gaussian systems; 4.2.2 Suboptimal solutions for nonlinear systems; 4.2.3 Other filters for nonlinear systems; 4.3 Discrete state variables; 4.3.1 Hidden Markov models; 4.3.2 Online state estimation; 4.3.3 Offline state estimation; 4.4 Mixed states and the particle filter; 4.4.1 Importance sampling; 4.4.2 Resampling by selection; 4.4.3 The condensation algorithm; 4.5 Selected bibliography"]
[{"$nulls":4},"4.6 Exercises5 Supervised Learning; 5.1 Training sets; 5.2 Parametric learning; 5.2.1 Gaussian distribution, mean unknown; 5.2.2 Gaussian distribution, covariance matrix unknown; 5.2.3 Gaussian distribution, mean and covariance matrix both unknown; 5.2.4 Estimation of the prior probabilities; 5.2.5 Binary measurements; 5.3 Nonparametric learning; 5.3.1 Parzen estimation and histogramming; 5.3.2 Nearest neighbour classification; 5.3.3 Linear discriminant functions; 5.3.4 The support vector classifier; 5.3.5 The feed-forward neural network; 5.4 Empirical evaluation; 5.5 References"]
[{"$nulls":4},"5.6 Exercises6 Feature Extraction and Selection; 6.1 Criteria for selection and extraction; 6.1.1 Inter/intra class distance; 6.1.2 Chernoff-Bhattacharyya distance; 6.1.3 Other criteria; 6.2 Feature selection; 6.2.1 Branch-and-bound; 6.2.2 Suboptimal search; 6.2.3 Implementation issues; 6.3 Linear feature extraction; 6.3.1 Feature extraction based on the Bhattacharyya distance with Gaussian distributions; 6.3.2 Feature extraction based on inter/intra class distance; 6.4 References; 6.5 Exercises; 7 Unsupervised Learning; 7.1 Feature reduction; 7.1.1 Principal component analysis"]
[{"$nulls":4},"7.1.2 Multi-dimensional scaling"]
[null,null,null,"Sommario/riassunto","Classification, Parameter Estimation and State Estimation is a practical guide for data analysts and designers of measurement systems and postgraduates students that are interested in advanced measurement systems using MATLAB. 'Prtools' is a powerful MATLAB toolbox for pattern recognition and is written and owned by one of the co-authors, B. Duin of the Delft University of Technology. After an introductory chapter, the book provides the theoretical construction for classification, estimation and state estimation. The book also deals with the skills required to bring the theoretical co"]
[null,"2.","Record Nr.",null,"UNINA9910132287203321"]
[null,null,"Autore",null,"Baldwin Cheryl"]
[null,null,"Titolo",null,"The 10 principles of food industry sustainability / / Cheryl J. Baldwin"]
[null,null,"Pubbl/distr/stampa",null,"West Sussex, England : , : Wiley Blackwell, , 2015"]
[{"$nulls":4},"©2015"]
[null,null,"ISBN",null,"1-118-44771-9"]
[{"$nulls":4},"1-118-44769-7"]
[{"$nulls":4},"1-118-44772-7"]
[null,null,"Descrizione fisica",null,"1 online resource (220 p.)"]
[null,null,"Disciplina",null,"664.0068/4"]
[null,null,"Soggetti",null,"Food industry and trade"]
[{"$nulls":4},"Food supply"]
[{"$nulls":4},"Sustainable agriculture"]
[{"$nulls":4},"Farm produce"]
[{"$nulls":4},"Animal products"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters and index."]
[null,null,"Nota di contenuto",null,"Title Page; Copyright Page; Contents; Acknowledgments; Chapter 1 Introduction to the Principles; 1.1 The 10 principles of food industry sustainability; 1.2 Principles-practices-potential; 1.3 What is sustainability in the food industry?; 1.4 The destructive course of the food system; 1.4.1 Climate change; 1.4.2 Natural resource depletion and degradation; 1.4.3 Pollution and toxicity; 1.4.4 Rural economy and development; 1.4.5 Food safety and nutrition; 1.5 Reasons for principles for sustainability in the food industry; 1.6 The business benefit; 1.7 What needs to be done; References"]
[{"$nulls":4},"Chapter 2 Agriculture and the Environment2.1 Climate; 2.2 Land and biodiversity; 2.3 Water and pollution; 2.4 Approaches to more sustainable agriculture; 2.4.1 Sustainable agriculture requirements and standards; 2.4.2 Unilever sustainable agriculture program; 2.4.3 Starbucks C.A.F.E practices; 2.4.4 Walmart sustainability index; 2.4.5 PepsiCo sustainable farming initiative; 2.4.6 Sysco Corporation's sustainable agriculture/IPM initiative; 2.5 Summary; Resources; References; Chapter 3 Welfare and Environmental Considerations in Production and Harvesting of Animals, Fish, and Seafood"]
[{"$nulls":4},"3.1 Livestock care3.1.1 Approaches to address livestock welfare; 3.2 "]
[{"$nulls":4},"Fish and seafood; 3.2.1 Farmed fish; 3.2.2 Approaches to address seafood; 3.3 Environmental impacts from livestock production; 3.3.1 Greenhouse gas emissions; 3.3.2 Land use and pollution from livestock production; 3.3.3 Approaches to address environmental impacts from livestock; 3.4 Summary; Resources; References; Chapter 4 Processing; 4.1 Energy; 4.1.1 Energy sources and impacts; 4.1.2 Energy use in food processing; 4.1.3 Sierra Nevada's energy and climate program"]
[{"$nulls":4},"4.1.4 Heinz's energy effort in energy and greenhouse gas emissions4.2 Water; 4.2.1 Nestlé; 4.2.2 The Coca-Cola Company water stewardship; 4.3 Chemicals and other inputs; 4.4 Lean, clean, and green processing; 4.5 Summary; Resources; References; Chapter 5 Packaging; 5.1 Packaging hotspots; 5.1.1 Materials; 5.1.2 End of life; 5.1.3 Social hotspots; 5.2 Responsible packaging; 5.2.1 Materials and sourcing; 5.2.2 Design and innovation; 5.2.3 End of life; 5.2.4 PepsiCo's sustainable packaging program; 5.2.5 Sustainable Packaging Coalition; 5.3 Summary; Resources; References"]
[{"$nulls":4},"Chapter 6 Distribution and Channels6.1 Transportation; 6.1.1 Refrigeration in transportation; 6.1.2 EPA SmartWay; 6.2 Facility management; 6.2.1 Refrigerants; 6.2.2 Cleaning and indoor environmental quality management; 6.2.3 Environmentally preferable purchasing; 6.2.4 Construction; 6.3 Gordon Food Service distribution and facilities improvements; 6.4 Food retailer J. Sainsbury addressing the environment; 6.5 Subway restaurants showing how to green operations; 6.6 Summary; Resources; References; Chapter 7 Food Waste; 7.1 The impacts from wastage; 7.2 Reducing wastage; 7.2.1 Waste management; 7.3 Summary."]
[null,null,null,"Sommario/riassunto","Although the food industry is beginning to make headway with its sustainability initiatives, substantially more progress is needed in order to feed the world's growing population sustainably. The challenge is that the topic of sustainability can seem overwhelming and there is limited information that is specific to the food industry.   Written by an experienced food industry professional with years of experience in sustainability, The 10 Principles of Food Industry Sustainability inspires and informs the progress required to nourish the population, revitalize natural resources, enhance economy."]