'Transformation rules' diaporamas de présentation

Stratego

1.23k views • 101 slides

T-Core: Transformation Languages Tailored To Your Needs

T-Core: Transformation Languages Tailored To Your Needs. Eugene Syriani. Outline. Model Transformation Languages (MTLs) Uses & Applications of Model Transformation Features of Model Transformation Languages Essence of Model Transformation Languages Common Basis A Product Line of MTLs

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www.data.gov ?

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Corpora and Statistical Methods Lecture 10

Corpora and Statistical Methods Lecture 10. Albert Gatt. Part 1. POS Tagging continued. Transformation-based error-driven learning. Transformation-based learning. Approach proposed by Brill (1995) uses quantitative information at training stage outcome of training is a set of rules

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An Example of Translation and Proof using Higher-Order Abstract Syntax

An Example of Translation and Proof using Higher-Order Abstract Syntax. Michael W. Whalen Advanced Technology Center Rockwell Collins Inc. Safety-Critical Systems. Code Generation Requirements. Automatic Formally-Defined Formal description of source/target language

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Status Report of MFI-4 ISO/IEC 19763-4

WG2 N1282. Status Report of MFI-4 ISO/IEC 19763-4. SC32/WG2 Jeju Korea 25/06/09 Masaharu Obayashi. Update of MFI-4. FCD2 Ballot close: 10 July 2009 Ballot will be closed on 10 th July Documents 32N1846T-text_for_ballot-FCD2_1963-4 32N1847-disp_of_comments-FCD_19763-4.

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Query Optimization: Transformations

Query Optimization: Transformations. May 29 th , 2002. Schema for Some Examples. Sailors ( sid : integer , sname : string, rating : integer, age : real) Reserves ( sid : integer, bid : integer, day : dates , rname : string). Reserves:

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Learning to Transform Natural to Formal Language

Learning to Transform Natural to Formal Language. Rohit J. Kate, Yuk Wah Wong, and Raymond J. Mooney. Presented by Ping Zhang. Overview. Background SILT CL ANG and G EOQUERY Semantic Parsing using Transformation rules String-based learning Tree-based learning Experiments Future work

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Welcome to (Innovative Instructional) Methods (in Language Arts) EDS 361A Susan Scharton

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A view-based approach for semantic service descriptions

A view-based approach for semantic service descriptions. Carsten Jacob , Heiko Pfeffer, Stephan Steglich, Li Yan, and Ma Qifeng. Motivation. Semantic service descriptions can be applied to enhance automatic service selection, composition, and invocation processes

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NOTICE!

NOTICE!.

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Integrating UML Activity Diagrams with Temporal Logic Expressions

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Query Optimization

sname. rating > 5. bid=100. (Simple Nested Loops). sid=sid. Sailors. Reserves. Query Optimization. Goal:. Declarative SQL query. Imperative query execution plan:. SELECT S.sname FROM Reserves R, Sailors S WHERE R.sid=S.sid AND R.bid=100 AND S.rating>5.

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A summary

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UTA Stemming and Lemmatization Experiments in the Bengali ad hoc Track at FIRE 2010

UTA Stemming and Lemmatization Experiments in the Bengali ad hoc Track at FIRE 2010. A. Loponen, J. Paik* & K. Jarvelin kalervo.jarvelin@uta.fi *ISI, Kolkata, India. Outline. Introduction Some Remarks on Bengali Experimental Systems YASS GRALE STALE Experiments Results Discussion.

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UsiXML

UsiXML. A user interface description language supporting multiple levels of independence. Multi path UI development. Overcomes shortcomings in existing UI development 4 principles. Related work. Teallach tool UIML XIML SeescoaXML TERESA RIML. Graph Transformation.

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A Framework for Verifying High-Assurance Transformation System (HATS)

A Framework for Verifying High-Assurance Transformation System (HATS). Fares Fraij December 3, 2003. Outline Introduction HATS architecture HATS transformation rules and control strategies Example of transformation rules Sandia Secure Processor (SSP) HATS model in ACL2

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Specification of UML Model Transformations

Specification of UML Model Transformations. PhD Student : Shekoufeh Kolahdouz Rahimi Shekoufeh.kolahdouzrahimi@kcl.ac.uk Supervisors : Dr Kevin Lano , Dr Iman Hafiz Poernomo Kevin.lano@kcl.ac.uk , Iman.poernomo@kcl.ac.uk. Introduction to Model Transformation.

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ATHENA Project B5: Piloting Including Technology Testing Coordination and Pilot Infrastructure

XPDI server of reference to Windchill Operation phase. XPDI. Data PDM Repository. Data PDM Repository (Test). Schema: PLM Informational model Schema format: XSD Data format: XML. Schema: PLM Informational model Schema format: XSD Data format: XML. AXTOR. OPAL Descirption

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