Modern Methodology and Applications in Spatial-Temporal Modeling /
This book provides a modern introductory tutorial on specialized methodological and applied aspects of spatial and temporal modeling. The areas covered involve a range of topics which reflect the diversity of this domain of research across a number of quantitative disciplines. For instance, the firs...
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| Other Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Tokyo :
Springer Japan : Imprint: Springer,
2015.
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| Edition: | 1st ed. 2015. |
| Series: | SpringerBriefs in Statistics,
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| Subjects: | |
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Table of Contents:
- 1 Nonparametric Bayesian Inference with Kernel Mean Embedding (Kenji Fukumizu)
- 2 How to Utilise Sensor Network Data to Efficiently Perform Model Calibration and Spatial Field Reconstruction (Gareth W. Peters, Ido Nevat and Tomoko Matsui)
- 3 Speech and Music Emotion Recognition using Gaussian Processes (Konstantin Markov and Tomoko Matsui)
- 4 Topic Modeling for Speech and Language Processing (Jen-Tzung Chien).