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Learning domain-independent string transformation weights for high accuracy object identification.

S. Tejada, C. Knoblock, and S. Minton. KDD, page 350-359. ACM, (2002)

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The Ariadne Approach to Web-Based Information Integration.C. Knoblock, S. Minton, J. Ambite, N. Ashish, I. Muslea, A. Philpot, and S. Tejada. Int. J. Cooperative Inf. Syst., 10 (1-2): 145-169 (2001)Virtual Synergy: A Human-Robot Interface for Urban Search and Rescue.S. Tejada, A. Cristina, P. Goodwyne, E. Normand, R. O'Hara, and S. Tarapore. AAAI Mobile Robot Competition, volume WS-03-01 of AAAI Technical Report, page 13-19. AAAI Press, (2003)Toward Integrated Soccer Robots.W. Shen, J. Adibi, R. Adobbati, B. Cho, A. Erdem, H. Moradi, B. Salemi, and S. Tejada. AI Magazine, 19 (3): 79-85 (1998)Learning object identification rules for information integration.S. Tejada, C. Knoblock, and S. Minton. Inf. Syst., 26 (8): 607-633 (2001)Building Integrated Robots for Soccer Competition.W. Shen, J. Adibi, R. Adobbati, B. Cho, A. Erdem, H. Moradi, B. Salemi, and S. Tejada. ICMAS, page 465-466. IEEE Computer Society, (1998)Kinesthetic robot interfaces for educational games.S. Tejada. SIGGRAPH Posters, page 32. ACM, (2008)Robot rockstars: a mixed-reality game.S. Tejada. SIGGRAPH Posters, ACM, (2009)Demystifying Language about Students' Varied Identities.J. Black, K. Bobb, A. Browne, P. Conrad, C. Lewis, C. Swanier, and S. Tejada. SIGCSE, page 1228-1229. ACM, (2019)Autonomous Soccer Robots.W. Shen, J. Adibi, R. Adobbati, B. Cho, A. Erdem, H. Moradi, B. Salemi, and S. Tejada. RoboCup, volume 1395 of Lecture Notes in Computer Science, page 295-304. Springer, (1997)Learning to Handle Inconsistency for Multi-Source Integration.S. Tejada, C. Knoblock, and S. Minton. AAAI/IAAI, page 983. AAAI Press / The MIT Press, (1999)

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Learning domain-independent string transformation weights for high accuracy object identification.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Learning domain-independent string transformation weights for high accuracy object identification.

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Learning domain-independent string transformation weights for high accuracy object identification.