Statistical Learning and Data Sciences [electronic resource] : Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings / edited by Alexander Gammerman, Vladimir Vovk, Harris Papadopoulos.
Material type:
TextSeries: Lecture Notes in Artificial Intelligence ; 9047 | Lecture Notes in Computer Science ; 9047Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Edition: 1st ed. 2015Description: XIV, 444 p. 133 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319170916Subject(s): Artificial intelligence | Algorithms | Application software | Database management | Computers | Information storage and retrieval | Artificial Intelligence | Algorithm Analysis and Problem Complexity | Information Systems Applications (incl. Internet) | Database Management | Computation by Abstract Devices | Information Storage and RetrievalAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 LOC classification: Q334-342Online resources: Click here to access online
In:
Springer Nature eBookSummary: This book constitutes the refereed proceedings of the Third International Symposium on Statistical Learning and Data Sciences, SLDS 2015, held in Egham, Surrey, UK, April 2015. The 36 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 59 submissions. The papers are organized in topical sections on statistical learning and its applications, conformal prediction and its applications, new frontiers in data analysis for nuclear fusion, and geometric data analysis.
E-BOOKS
| Current library | Home library | Call number | Materials specified | URL | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
| IMSc Library | IMSc Library | Link to resource | Available | EBK15526 |
This book constitutes the refereed proceedings of the Third International Symposium on Statistical Learning and Data Sciences, SLDS 2015, held in Egham, Surrey, UK, April 2015. The 36 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 59 submissions. The papers are organized in topical sections on statistical learning and its applications, conformal prediction and its applications, new frontiers in data analysis for nuclear fusion, and geometric data analysis.
There are no comments on this title.