PPT-Identifying Semantic Differences in AspectJ Programs
Author : ellena-manuel | Published Date : 2016-05-02
Martin G ö rg and Jianjun Zhao Computer Science Department Shanghai Jiao Tong University Outline Motivation and Background Difference Analysis Algorithm Evaluation
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Identifying Semantic Differences in AspectJ Programs: Transcript
Martin G ö rg and Jianjun Zhao Computer Science Department Shanghai Jiao Tong University Outline Motivation and Background Difference Analysis Algorithm Evaluation of Quality and Feasibilit. Xun. . Xu. Timothy. . Hospedales. Shaogang. Gong. Authors:. Computer Vision Group. Queen Mary University of London. Action Recognition. Ever Increasing #Categories. KTH 6 Classes. Weizmann 9 Classes. Semantic networks - history. Network notations are almost as old as logic. Porphyry (3rd century AD) – tree-based hierarchies to describe Aristotle’s categories. Frege (1879) - concept writing, a tree notation for the first complete version of first-order logic . . Multi-label Protein Subcellular Localization. Shibiao WAN and Man-Wai MAK. The Hong Kong Polytechnic University. Sun-Yuan KUNG. Princeton University. Outline. Introduction and Motivation. Retrieval of GO Terms. Module 1 - . Part . 1. The . Semantic Web and Linked Data . Concepts: . A . basic overview . . 1-. 1. Library of . Congress. BIBFRAME Pilot Training . for Catalogers. Overview. Context . Goals . of the . -concepts and facts. -several similar models describe . the organization . of semantic . memory. 1) Collins & . Quillian’s. Hierarchical Network Model. -nodes to represent individual items, ideas, organized hierarchically. Meta-programming requires. representing programs as data objects.. Definition: A . meta-program. is a . program that . represents and manipulates programs as. data objects at its run-time.. parser, compiler, …. Modeling and Analysis. By: Shahab Helmi. Outline. Larger datasets are becoming available from GPS, GSM, RFID, and other sensors.. Interest in movement has shifted from . raw movement data analysis . to more . Dominic Oldman. Peter . Haase. Creating the Cultural Heritage Knowledge Graph. ResearchSpace. Project. Goals and context. ResearchSpace. Platform. m. etaphacts. Knowledge Graph Platform. Brief demo. Analysis. . for Lexical Semantics . and . Knowledge Base Embedding. UIUC 2014 . Scott Wen-tau . Yih. Joint work with. Kai-Wei . Chang, Bishan Yang, . Chris Meek, Geoff Zweig, John Platt. Microsoft Research. In the Context of the ETC Project. SAW Intro. Wiki. Users collaboratively develop and organize content. Information Analysis is up to the user. Goal: . “Self-aware wiki that can develop and organize its content. Towards Bridging Semantic Gap and Intention Gap in Image Retrieval. Hanwang. Zhang. 1. , . Zheng. -Jun Zha. 2. , Yang Yang. 1. , . Shuicheng. Yan. 1. , . Yue. Gao. 1. , Tat-. Seng. Chua. 1. 1: National University of Singapore. Matt . Cuddington. , M.A., CCC-SLP. Jenny Jones, SLP Graduate Student. Mamie Shutt, Special Education Teacher. OBJECTIVES. North Carolina 3. rd. grade Essential Standard:. 3.G.1 Understand the earth's patterns by using the five themes of geography:. Introduction. Semantic Role Labeling. Agent. Theme. Predicate. Location. Can we figure out that these have the same meaning?. XYZ . corporation . bought. the . stock.. They . sold. the stock to XYZ . timing (. bacondecomp. ). July 11, 2019. Stata Conference. Andrew Goodman-Bacon (Vanderbilt University). Austin Nichols (. Abt. Associates). Thomas . Goldring. (University of Michigan). @. agoodmanbacon.
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