'Human expert' diaporamas de présentation

Information Extraction

Information Extraction. October 13, 2006. Input: Specification: Types of entities to find Types of relations to find Templates to fill Corpus of text: Possibly formatted Possibly annotated for linguistic structure. Output: Text + annotation: Entities tagged w/type and coreference info

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SEGMENT 8

SEGMENT 8. Implementing and Integrating Management Support Systems. Implementing and Integrating MSS. Building MSS First phase: decision making support and problem solving Implementation Integration of MSS Technologies. Implementation: An Overview. Opening vignette: major points

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Principles of Information Systems, Tenth Edition

Principles of Information Systems, Tenth Edition. Chapter 11 Knowledge Management and Specialized Information Systems. Principles and Learning Objectives. Knowledge management allows organizations to share knowledge and experience among managers and employees

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The M-Best Mode Problem

The M-Best Mode Problem. Dhruv Batra Research Assistant Professor TTI-Chicago Joint work with: Abner Guzman-Rivera (UIUC), Greg Shakhnarovich (TTIC), Payman Yadollahpour (TTIC ). Local Ambiguity. slide credit: Fei- Fei Li, Rob Fergus & Antonio Torralba. Local Ambiguity.

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Intelligent Agents

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Genetic Computer School Computer Systems Fundamentals

Genetic Computer School Computer Systems Fundamentals. Lecturer: Dr. Nguyen Nam Hong Tel: (04) 8781 437 Mobile: 0912 312 816 Email: nguyennamhong2003@yahoo.com.au Chapter 12. Expert Systems. Chapter 12. Expert Systems. 12.1. What Is an Expert System ?

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The Value of Usage Scenarios for Thesaurus Alignment in Cultural Heritage Context

The Value of Usage Scenarios for Thesaurus Alignment in Cultural Heritage Context. Antoine Isaac , Claus Zinn, Henk Matthezing, Lourens van der Meij, Stefan Schlobach, Shenghui Wang Cultural Heritage on the Semantic Web Workshop Oct. 12 th , 2007. Introduction. One important problem in CH

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Expert Systems

Expert Systems. Learning Objectives:. By the end of this topic you should be able to: explain what is meant by an expert system describe the components of an expert system describe the applications of an expert system. Expert Systems. In everyday life:. Expert Systems.

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Prioritizing what to work on: Spam classification example

Prioritizing what to work on: Spam classification example. Machine learning system design. Machine Learning. Building a spam classifier. From: cheapsales@buystufffromme.com To: ang@cs.stanford.edu Subject: Buy now! Deal of the week! Buy now! Rolex w4tchs - $100 Med1cine (any kind) - $50

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EXPERT SYSTEMS or KNOWLEDGE BASED SYSTEMS

EXPERT SYSTEMS or KNOWLEDGE BASED SYSTEMS. When we wish to encode a rich source of knowledge within the program. and ------ The scope of systems knowledge is well defined.

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AI as a Knowledge Management Approach

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