Stream Reasoning using Temporal Logic for Autonomous System Fredrik Heintz

Source URL: www.vcla.at

Deconfounding Hypothesis Generation and Evaluation in Bayesian Models Elizabeth Baraff Bonawitz (liz ) Department of Psychology, 5427 Tolman Hall Berkeley, CAUSA Thomas L. Griffiths (tom griffiths@b

Source URL: ccdlab.rutgers.edu

• Statistical inference
• Philosophy of science
• Reasoning
• Statistical theory
• Machine learning
• Bayesian inference
• Inductive reasoning
• Bayesian network
• Bayesian probability
• Statistical hypothesis testing
• Inductive bias
• Inference

Inves&ga&ng  Elas&c  Cloud  Based  Reasoning   for  the  Seman&c  Web   By  Omer  Dawelbeit   The  Vision  

Source URL: omerio.com

Extending Datatype Support in Web Ontology Reasoning Jeff Z. Pan and Ian Horrocks Information Management Group Department of Computer Science University of Manchester Oxford Road, Manchester M13 9PL, UK

Source URL: www.cs.man.ac.uk

TMRF e-Book Advanced Knowledge Based Systems: Model, Applications & Research (Eds. Sajja & Akerkar), Vol. 1, pp 12 – 28, 2010 Chapter 2

Source URL: www.tmrfindia.org

• Knowledge representation
• Semantic Web
• Artificial intelligence
• Knowledge engineering
• Information science
• Ontology language
• Ontology
• Knowledge representation and reasoning
• Web Ontology Language
• Description logic
• Conceptual graph
• Frame language

Stream Reasoning – Research and Use cases at the Institute of Information Business Axel Polleres & Javier Fernandez, WU Wien Outline Disclaimer: NO concrete work on Stream

Source URL: www.vcla.at

Knowledge Representation and Reasoning Introduction and Motivation Maurice Pagnucco School of Computer Sc. & Eng. University of New South Wales

Source URL: ssll.cecs.anu.edu.au

Efficient Reasoning with Range and Domain Constraints Dmitry Tsarkov and Ian Horrocks Department of Computer Science The University of Manchester Manchester, UK {tsarkov|horrocks}@cs.man.ac.uk

Source URL: www.cs.man.ac.uk

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and shar

Source URL: ccdlab.rutgers.edu

• Philosophy of science
• Reasoning
• Statistical inference
• Statistical theory
• Causality
• Inductive reasoning
• Bayesian network
• Inference
• Psychology
• Causal model
• Prediction
• Statistics

Preschoolers sample from probability distributions Stephanie Denison () Elizabeth Baraff Bonawitz (liz ) Alison Gopnik () Thomas L. Griffiths (tom griffiths@berkeley.

Source URL: ccdlab.rutgers.edu

• Statistics
• Philosophy
• Knowledge
• Philosophy of science
• Statistical inference
• Design of experiments
• Hypothesis testing
• Reasoning
• Statistical hypothesis testing
• Bayesian inference
• Bayesian network
• Causality