BYU CS 705 - LECTURE NOTES (8 pages)

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LECTURE NOTES



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LECTURE NOTES

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Pages:
8
School:
Brigham Young University
Course:
Cs 705 - SLIDES EDITING

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TANGO Table ANalysis for Generating Ontologies fleck repeat 1 understand table 2 generate mini ontology 3 match with growing ontology 4 Adjust merge until ontology developed velter gonsity ld gg hepth gd burlam 1 2 120 falder 2 3 230 multon 2 5 400 Growing Ontology TANGO in a nutshell TANGO repeatedly turns raw tables into conceptual mini ontologies and integrates them into a growing ontology fleck 1 has 1 gonosity velter 1 has 1 hepth Integrating and Storing Uncertain Data Basic Skills movement capability logical Robot behavioral Azimo Safety Layer Default Layer b le m se As As Clinician Lee sem b le Task Play Imitation Game Want to play a game Let s imitate her Documents Patterns Sorted A B C Layout Logical Name Title City Results Aaron David Aarons George S Abbott Charles H W S NEWBURY W H ADAMS JOSEPH BACHMAN T M Gatch E H Stolte W S Newbury Truly Dynamic Behavior Graphics Machine Learning Simulation Human Behavior Fire Escape Placement Government Fugitive Chase Simulation Professionals Adaptive Fire fighting Animal Learning Parent Child Learning Transfer Biologists Predator Introduction Mutual Genetic Adaptation Movies and Games Movies and Games Entertainment 1 000 Asymmetric Actors Industry Human like AI Adaptation Screen based Intelligence Brian Ricks BYU CS October 2009 Incremental Multi label Classification with Unknown Labels Happy Bright Peaceful Dark Gloomy We don t know which labels we might encounter nor how many labels there will be during training We need to be able to dynamically add new labels into our learning model Feature Extraction Happy Bright Energetic We cannot assume implicit negativity for images with missing labels Wet Happy Dark Gloomy 0 9 algorithms Heuristics DN 1 CL 0 02 DS 0 01 MV 0 Type Outlier



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