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Overview Advanced AI

Overview Advanced AI. 1994 “AI” Turing Award Lectures AI and the Web Traditional Clustering Shape-based Image Retrieval Spatial and Spatio-Temporal Data Mining Reinforcement Learning and Learning to Lean. Hyla-Tree Frog. Paper Reading List COSC 7363.

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Overview Advanced AI

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  1. Overview Advanced AI 1994 “AI” Turing Award Lectures AI and the Web Traditional Clustering Shape-based Image Retrieval Spatial and Spatio-Temporal Data Mining Reinforcement Learning and Learning to Lean Hyla-Tree Frog

  2. Paper Reading List COSC 7363 • AI through 1995: Edward Feigenbaum’s and Raj Reddys 1994 Turing Award Lectures in CACM, May 1996, pages 97-112. Feigenbaums lecture “How the ‘What’ becomes the ‘How’” will be discussed in the second class; Reddy’s article “To Dream the Possible Dream” will be used in some form later in the semester. • Page & Brin (Google Publication), The PageRank Citation Ranking: Bringing Order to the Web, 1998; walkthrough paper; perhaps this is a better source of the work: Page & Brin (Google Publication), The Anatomy of a Large-Scale Hypertextual Web Search Engine,1999. • CV of Sergey Brin & potcast of 2005 Interview with Sergey Brin (http://www.itconversations.com/shows/detail795.html) • Hanghang Tong, Christos Faloutsos, and Jia-Yu Pan, Fast Random Walk with Restart and Its Applications, Proc. ICDM Conference, Hong Kong, China, Dec. 2006; won best research paper award; 2 student-supervised walkthrough • Langville & Meyer, Deeper Inside Page Rank, Internet Mathematics, Vol. 1, No. 3, 335-380, 2004; potential student presentation paper • Original DBSCAN Paper; 2-student-supervised walkthrough • Rousseaux Original Silhouette Paper; walkthrough; learn how to write an introduction and an abstract • Likely, Original EM Paper; McLachlan, G. and Peel, D. (2000). Finite Mixture Models. J. Wiley, New York. teams of 2 read the paper, learn how to write a conclusion • Clustering with Bregman Divergences by A. Banerjee, S. Merugu, I. S. Dhillon, and J. Ghosh, in Journal of Machine Learning Research, vol. 6, pages 1705-1749, October 2005 --- it will be a challenge to read and understand this paper; will try to invite Ghosh for a seminar in April 2007!

  3. Paper Reading List COSC 7363 • Cyrus Shahabi, Maytham Safar, An experimental study of alternative shape-based image retrieval techniques, Multimedia Tools and Applications, Springer Netherlands, November 2006. • S. Shekhar, P. Zhang, Y. Huang, R. Vatsavai, Trends in Spatial Data Mining, Chapter3 ofData Mining: Next Generation Challenges and Future Directions, H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha(eds.), AAAI/MIT Press, 2003. • Some Spatial Statistics Paper • Co-location Mining with Rare Spatial Featuresby Yan Huang, Jian Pei, and Hui Xiong published in Journal of GeoInformatica, vol. 10, issue 3,2006. • Mirco Nanni, Dino Pedreschi.Time-focused density-based clustering of trajectories of moving objects.in Journal of Intelligent Information Systems (JIIS), 27(3):267-289, 2006. • H. Cao, N. Mamoulis, and D. W. Cheung,  "Discovery of Periodic Patterns in Spatiotemporal Sequences," IEEE Transactions on Knowledge and Data Engineering (TKDE), to appear. • Reinforcement Learning: A Survey byKaelbling, L. P. and Littman, M. L. in JAIR, 1996 (http://www.cs.cmu.edu/afs/cs/project/jair/pub/volume4/kaelbling96a-html/rl-survey.html ) • Chapters taken from the Thrun book “Learning to Learn”, 1998. • Chapter 1 (needed to understand 13) --- Introduction and Overview • Chapter 13 --- Richard Maclin and Jude W. Shavlik, Creating Advice-Taking Reinforcement Learners.

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