Modern methodology and applications in spatial-temporal modeling. (2015)

• Record Type: Book
• Further Information: Note: Gareth William Peters, Tomoko Matsui, editors.
• Editors: Peters, Gareth W, 1978-; Matsui, Tomoko
• 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).
• Publisher Details: Tokyo : Springer
• Publication Date: 2015
• Extent: 1 online resource (xv, 111 pages), illustrations (some color)
• Subjects: 519.5; Spatial analysis (Statistics); MATHEMATICS -- Applied; MATHEMATICS -- Probability & Statistics -- General; Spatial analysis (Statistics); Statistics; Statistical Theory and Methods; Statistics and Computing/Statistics Programs; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Electronic books
• Languages: English
• ISBNs: 9784431553397; 4431553398
• Related ISBNs: 9784431553380; 443155338X
• Notes: Note: Includes bibliographical references at the end of each chapters.; Note: Online resource; title from PDF title page (SpringerLink, viewed January 14, 2016).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.