60 results
Development of a High Electron Energy-loss Spectrometry System for Advanced Scanning Transmission Electron Microscopy
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- Journal:
- Microscopy and Microanalysis / Volume 28 / Issue S1 / August 2022
- Published online by Cambridge University Press:
- 22 July 2022, pp. 2644-2647
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- August 2022
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“Push-Button Microscopy”: Automated Instrument Alignment and Reciprocal-space Navigation using PyJEM
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- Microscopy and Microanalysis / Volume 28 / Issue S1 / August 2022
- Published online by Cambridge University Press:
- 22 July 2022, pp. 3172-3173
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- August 2022
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Effect of Ca Doping on the Microstructure and Mechanical Properties of Magnesium Aluminate Spinel
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- Microscopy and Microanalysis / Volume 28 / Issue S1 / August 2022
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- 22 July 2022, pp. 2600-2602
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- August 2022
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Application of ζ-factor Microanalysis to Measure Phase Compositions in Ultrahard Ceramics and Complex Concentrated Alloys
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- Microscopy and Microanalysis / Volume 27 / Issue S1 / August 2021
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- 30 July 2021, pp. 3046-3048
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- August 2021
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Evaluation of Optimum Instrument Conditions for the Best Spatial Resolution in Atomic-Column X-ray Analysis toward Quantification
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- Microscopy and Microanalysis / Volume 27 / Issue S1 / August 2021
- Published online by Cambridge University Press:
- 30 July 2021, pp. 2604-2606
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- August 2021
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Evaluation of Confocal X-ray Analysis for Single-Atom Detection in a Thin Specimen by an Advanced Analytical Electron Microscope
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- Microscopy and Microanalysis / Volume 26 / Issue S2 / August 2020
- Published online by Cambridge University Press:
- 30 July 2020, pp. 1512-1514
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- August 2020
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Recent Developments of ζ-factor Microanalysis and Its Application to Armor Ceramics
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- Microscopy and Microanalysis / Volume 26 / Issue S2 / August 2020
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- 30 July 2020, pp. 982-985
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- August 2020
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Prospective monitoring of carbapenem use and pseudomonal resistance across pediatric institutions
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- Infection Control & Hospital Epidemiology / Volume 41 / Issue 9 / September 2020
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- 02 June 2020, pp. 1042-1047
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- September 2020
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Bibliography
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- Variational Bayesian Learning Theory
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- 24 June 2019
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- 11 July 2019, pp 529-539
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4 - VB Algorithm for Latent Variable Models
- from Part II - Algorithm
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- Variational Bayesian Learning Theory
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- 24 June 2019
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- 11 July 2019, pp 103-131
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Preface
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- Variational Bayesian Learning Theory
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- 24 June 2019
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- 11 July 2019, pp ix-xi
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16 - Asymptotic VB Theory of Other Latent Variable Models
- from Part IV - Asymptotic Theory
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- Variational Bayesian Learning Theory
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- 24 June 2019
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- 11 July 2019, pp 455-499
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13 - Asymptotic Learning Theory
- from Part IV - Asymptotic Theory
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- Variational Bayesian Learning Theory
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- 24 June 2019
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- 11 July 2019, pp 341-384
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5 - VB Algorithm under No Conjugacy
- from Part II - Algorithm
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- Variational Bayesian Learning Theory
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- 24 June 2019
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- 11 July 2019, pp 132-146
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Nomenclature
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- Variational Bayesian Learning Theory
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- 24 June 2019
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- 11 July 2019, pp xii-xvi
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1 - Bayesian Learning
- from Part I - Formulation
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- Variational Bayesian Learning Theory
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- 24 June 2019
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- 11 July 2019, pp 3-38
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Appendix B - Metric in Parameter Space
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- Variational Bayesian Learning Theory
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- 11 July 2019, pp 520-524
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15 - Asymptotic VB Theory of Mixture Models
- from Part IV - Asymptotic Theory
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- Variational Bayesian Learning Theory
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- 24 June 2019
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- 11 July 2019, pp 429-454
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6 - Global VB Solution of Fully Observed Matrix Factorization
- from Part III - Nonasymptotic Theory
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- Variational Bayesian Learning Theory
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- 24 June 2019
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- 11 July 2019, pp 149-183
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8 - Performance Analysis of VB Matrix Factorization
- from Part III - Nonasymptotic Theory
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- Variational Bayesian Learning Theory
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- 24 June 2019
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- 11 July 2019, pp 205-235
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