Review of the literature on the statistical properties of linked datasets Andrew Chesher and Lars Nesheim Centre for Microdata Methods and Practice (CeMMAP) October 2011

Source URL: www.ifs.org.uk

While the use of statistical methods to identify financial risk factors is a long-standing practice, the use of convex optimization for this purpose is a recent innovation. Specifically, a combination of convex programs

Source URL: mmds-data.org

Symposium on Statistical and Computational Methods for Pharmacogenetic Epidemiology of Cancer **************************************************************************************************** Call For Abstracts ******

Source URL: www.geneticepi.org

Mathematical and Statistical Methods for Imaging Habib Ammari∗ Josselin Garnier†

Source URL: lsec.cc.ac.cn

CURIOS: A framework to optimize CAPI surveys using paradata Antoine Rebecq Survey Sampling Methodologist – Department of Statistical Methods INSEE – Institut National de la Statistique et des Études Économiques Par

Source URL: www.iaos-isi.org

Adding Value to Statistical Information by Georeferencing Norbert RAINER Head of Registers, Classifications and Methods Division Ingrid KAMINGER; Gernot KATZLBERGER Cartography and Geographic Information Systems

Source URL: www.czso.cz

22 Assessment of Statistical Methods for Water Quality Monitoring in Maryland’s Tidal Waterways REU Site: Interdisciplinary Program in High Performance Computing Rosemary K. Le1 , Christopher V. Rackauckas2 , Anne S.

Source URL: www.siam.org

UNITED NATIONS ECONOMIC AND SOCIAL COMMISSION FOR ASIA AND THE PACIFIC STATISTICAL INSTITUTE FOR ASIA AND THE PACIFIC (SIAP) Second Regional Training Course on Sampling Methods for Producing Core Data Items for Agricultu

Source URL: www.unsiap.or.jp

Bilateral Conference on Statistical Methods for Service Evaluation IES2016 ies.ase.ro

Source URL: ies.ase.ro

Automatic adaptation of Proper Noun Dictionaries through cooperation of machine learning and probabilistic methods Georgios Petasis, Alessandro Cucchiarelli(*),Paola Velardi(§), Georgios Paliouras, Vangelis Karkaletsis,

Source URL: wwwusers.di.uniroma1.it

• Linguistics
• Computational linguistics
• Machine learning
• Artificial intelligence
• Cognition
• Natural language processing
• Semantics
• Statistical classification
• Word-sense disambiguation
• Parsing
• Supervised learning
• Probabilistic classification