Machine learning in non-stationary environments : introduction to covariate shift adaptation / / Masashi Sugiyama and Motoaki Kawanabe

• Record Nr.: UNINA9910789928103321
• Autore: Sugiyama Masashi <1974->
• Pubbl/distr/stampa: Cambridge, Mass., : MIT Press, ©2012
• ISBN: 0-262-30043-5; 1-280-49922-2; 9786613594457; 0-262-30122-9
• Descrizione fisica: 1 online resource (279 p.)
• Collana: Adaptive computation and machine learning
• Altri autori (Persone): KawanabeMotoaki
• Disciplina: 006.3/1
• Soggetti: Machine learning
• 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: Contents; Foreword; Preface; I INTRODUCTION; 1 Introduction and Problem Formulation; 1.1 Machine Learning under Covariate Shift; 1.2 Quick Tour of Covariate Shift Adaptation; 1.3 Problem Formulation; 1.4 Structure of This Book; II LEARNING UNDER COVARIATE SHIFT; 2 Function Approximation; 2.1 Importance-Weighting Techniques for Covariate Shift Adaptation; 2.2 Examples of Importance-Weighted Regression Methods; 2.3 Examples of Importance-Weighted Classification Methods; 2.4 Numerical Examples; 2.5 Summary and Discussion; 3 Model Selection; 3.1 Importance-Weighted Akaike Information Criterion; 3.2 Importance-Weighted Subspace Information Criterion3.3 Importance-Weighted Cross-Validation; 3.4 Numerical Examples; 3.5 Summary and Discussion; 4 Importance Estimation; 4.1 Kernel Density Estimation; 4.2 Kernel Mean Matching; 4.3 Logistic Regression; 4.4 Kullback-Leibler Importance Estimation Procedure; 4.5 Least-Squares Importance Fitting; 4.6 Unconstrained Least-Squares Importance Fitting; 4.7 Numerical Examples; 4.8 Experimental Comparison; 4.9 Summary; 5 Direct Density-Ratio Estimation with Dimensionality Reduction; 5.1 Density Difference in Hetero-Distributional Subspace; 5.2 Characterization of Hetero-Distributional Subspace5.3 Identifying Hetero-Distributional Subspace by Supervised Dimensionality ; Reduction; 5.4 Using LFDA for Finding Hetero-Distributional Subspace; 5.5 Density-Ratio Estimation in the Hetero-Distributional Subspace; 5.6 Numerical Examples; 5.7 Summary; 6 Relation to Sample Selection Bias; 6.1 Heckman's Sample Selection Model; 6.2 Distributional Change and Sample Selection Bias; 6.3 The Two-Step Algorithm; 6.4 Relation to Covariate Shift Approach; 7 Applications of Covariate Shift Adaptation; 7.1 Brain-Computer Interface; 7.2 Speaker Identification7.3 Natural Language Processing; 7.4 Perceived Age Prediction from Face Images; 7.5 Human Activity Recognition from Accelerometric Data; 7.6 Sample Reuse in Reinforcement Learning; III LEARNING CAUSING COVARIATE SHIFT; 8 Active Learning; 8.1 Preliminaries; 8.2 Population-Based Active Learning Methods; 8.3 Numerical Examples of Population-Based Active Learning Methods; 8.4 Pool-Based Active Learning Methods; 8.5 Numerical Examples of Pool-Based Active Learning Methods; 8.6 Summary and Discussion; 9 Active Learning with Model Selection; 9.1 Direct Approach and the Active Learning/Model Selection Dilemma9.2 Sequential Approach; 9.3 Batch Approach; 9.4 Ensemble Active Learning; 9.5 Numerical Examples; 9.6 Summary and Discussion; 10 Applications of Active Learning; 10.1 Design of Efficient Exploration Strategies in Reinforcement Learning; 10.2 Wafer Alignment in Semiconductor Exposure Apparatus; IV CONCLUSIONS; 11 Conclusions and Future Prospects; 11.1 Conclusions; 11.2 Future Prospects; Appendix: List of Symbols and Abbreviations; Bibliography; Index
• Sommario/riassunto: This volume focuses on a specific non-stationary environment known as covariate shift, in which the distributions of inputs (queries) changes but the conditional distributions of outputs (answers) is unchanged, and presents machine learning theory algorithms, and applications to overcome this variety of non-stationarity.

A Concise Encyclopedia of Additive Manufacturing / / by Sanjay Kumar

• Record Nr.: UNINA9911034962103321
• Autore: Kumar Sanjay
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
• ISBN: 3-031-98394-7
• Edizione: [1st ed. 2025.]
• Descrizione fisica: 1 online resource (589 pages)
• Collana: Engineering Series
• Disciplina: 621.3815
• Soggetti: Electronic circuit design; Automation; Industrial engineering; Electronics Design and Verification; Industrial Automation
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Additive friction stir deposition -- Additive layer manufacturing -- Additive layerless manufacturing -- Advantage -- Advantage: cause and perspective -- Advantage: fast process and freedom to design -- Advantage of simple products -- Air deposition -- AM and 3D printing -- AM and CM (conventional manufacturing) -- AM and CM: comparison -- AM and CM: perspective -- AM and CM: technique and complexity -- AM and machining: approach -- AM and machining: build direction -- AM and machining: lattice structure -- AM and machining: material property perspective -- AM and machining: side surface -- AM and machining: strategy -- AM and machining: wall and cavity -- AM and machining: waste generation perspective -- AM is itself not an advantage -- Arc -- Arc welding-based AM: GMAW-based -- Arc welding-based AM: GTAW-based -- Arc welding-based AM: PAW-based -- Beam deposition process: advantage and disadvantage -- Beam deposition process: powder and wire -- Big part -- Binder jet AM and selective inhibition sintering -- Binder jetting -- Binding mechanism -- Binding mechanism: misnomer -- Classification -- Classification: air and ion deposition -- Classification: arc-based deposition -- Classification: non-beam solid deposition -- Classification: powder bed process -- Classification: solid deposition ; -- Classification of deposition process and mechanism -- CNC accumulation -- Cold spray -- Cold spray AM -- Complexity -- Complexity in products -- Composite -- Composite fabrication in deposition process -- Composite feedstock -- Conformal cooling channel -- Continuous liquid interface production -- Cost and sustainability -- Design-specific tools: role -- Direct digital manufacturing -- Directed energy deposition -- Disadvantage -- Electrolytic solution-based deposition -- EPBF (Electron beam powder bed fusion) -- EPBF: beam generation -- EPBF: beam manipulation -- EPBF: beam shape control -- EPBF: chamber -- EPBF: processing -- Electrophoretic deposition -- Energy saving -- Energy saving: paradox- Energy-intensive process -- Extrusion-based AM -- Extrusion-based AM: feedstock -- Four-dimensional printing -- Freedom to move -- Friction-based and fusion-based deposition -- Friction surfacing-based AM -- Heater-based sintering -- High speed sintering -- How material is wasted -- How to make AM sustainable -- How to save material -- Ion deposition -- Lack of repeatability -- Laminated object manufacturing -- Laser PBF (powder bed fusion) -- Laser powder deposition: types -- Laser powder deposition: laser-powder interaction -- Layer -- Layer deposition and deposition process -- Layer deposition and layer arrangement -- Layerless FDM (fused deposition modelling) -- Layerless FDM and layerless PBF -- Layerless PBF -- Layerless PBF: part formation -- Layerless PBF: why layerless -- Layerless 3D printing -- Liquid deposition process -- Machining tool: problem -- Marking -- Material extrusion -- Material jetting -- Material saving -- Material saving: why it is saving -- Mold and pattern: mold -- Mold and pattern: permanent pattern -- Mold and pattern: temporary pattern -- Multi-material and composite -- Non-beam PBF -- Non-beam PBF: Localized microwave heating-based AM -- On-demand production and on-location production -- On-demand production and rapid manufacturing -- Optimization of parameters -- Origin of overhangs -- Overhangs and stair-stepping effect -- Part consolidation into assembly -- Perspective of complexity -- Post-processing -- Post-processing: position in AM chain -- Post-processing: pseudo type -- Post-processing does not slow AM process -- PBF: laser and electron beam -- PBF: serial and non-serial production -- PBF: shape limitation -- Process -- Processable materials -- Production volume flexibility -- Rapid manufacturing -- Rapid prototyping -- Repair and refurbishment -- Repair in PBF -- Repair in PBF: customized bed concept -- Selective laser melting -- Selective laser sintering -- Scanning type -- Scanning type differences -- Shaping in manufacturing -- Slurry bed process -- Slurry deposition process -- Solid freeform fabrication -- Speed: methods to increase -- Speed: paradox -- Stair-stepping -- Stair-stepping: an unsolvable problem -- Stereolithography -- Support structure -- Support structure: difficulty in PBF -- Support structure: effect on fabrication time -- Two-photon photopolymerization -- Ultrasonic consolidation -- Water deposition process.
• Sommario/riassunto: This is a comprehensive guide to Additive Manufacturing, organized in the alphabetic format of an encyclopedia. The presentation is concise, supported by ample references, including references from 2024 onwards. With entries for most aspects of additive manufacturing and 776 references, this book can serve as an invaluable entry to the field. Provides a single-source reference to a broad range of topics in additive manufacturing; Organized alphabetically, like an encyclopedia, in order to provide easy access to specific topics; Covers topics concisely, while providing ample references to more detailed literature.