Reading list for 2012
The reading list is still TENTATIVE, so changes may occur.
Tom Mitchell: Machine Learning, McGraw Hill, 1997:
Whenever you read the book, rember to check the erratas in the same time.
- Introduction, whole chapter.
- Concept Learning and the General-to-Specific Ordering, whole chapter.
- Decision Tree Learning, sections 3.5-3.8.
- Evaluating Hypothesis, sections 5.1-5.2, and 5.4-5.6.0 (p. 148).
- Bayesian Learning, sections 6.1-6.3, 6.7, 6.9-6.12.2
- Computational Learning Theory, sections 7.1-7.2
- Instance-Based Learning, sections 8.1-8.2 and 8.5-8.7
- K. P. Bennett and C. Campell, 2000: Support Vector Machines: Hype or Hallelujah?, SIGKDD Explorations, 2 (2), pp. 1-13.
- Y. Freund and R. E. Schapire, 1999: A Short Introduction to Boosting , Journal of Japanese Society for Artificial Intelligence
, 14(5), pp. 771--780.
- Hastie, Tibshirani and Friedman: The Elements of Statistical Learning, Springer, 5th ed., Section 3 - 3.2.3, Section 3.4-3.4.1, Section 5 - 5.2.
- Xiaoyuan Su and Taghi M. Khoshgoftaar (2009): A Survey of Collaborative Filtering Techniques, Advances in Artificial Intelligence, Volume 2009, doi:10.1155/2009/421425, 19 pages
The following introductory paper, from the AI-2 course, is assumed to be known by all. It is part of the curriculum, and may be reelevant for the examination:
A. Aamodt and E. Plaza, 1994: Case-based reasoning; Foundational issues, methodological variations, and system approaches. AI Communications, 7(1):3959.
These ten papers will be presented by the students during the last part of the course:
- Ramon Lopez de Mantaras, David McSherry, Derek Bridge, David Leake, Barry Smyth, Susan Craw, Boi Faltings, Mary Lou Maher, Michael Cox, Kenneth Forbus, Mark Keane, Agnar Aamodt, and Ian Watson: Retrieval, reuse, revision, and retention in case-based reasoning. Knowledge Engineering Review, Vol. 20, Issue 03, September 2005. Cambridge University Press, 2006. pp 215-240.
- Padraig Cunningham: A Taxonomy of Similarity Mechanisms for Case-Based Reasoning, Technical Report UCD-CSI-2008-01, University College Dublin
- Agnar Aamodt: Knowledge-intensive case-based reasoning in Creek. Peter Funk, Pedro A. Gonzalez Calero (eds.), Advances in case-based reasoning, 7th European Conference, ECCBR 2004, Proceedings. Madrid, Spain, August/September 2004. Lecture Notes in Artificial Intelligence, LNAI 3155, Spinger, 2004. pgs. 1-15. ISBN0302-9743.
- Belen Diaz-Agudo and Pedro A. Gonzalez-Calero: A Declarative Similarity Framework for Knowledge Intensive CBR, ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning, Pages 158 - 172, 2001
- Roger Schank and David Leake: Creativity and learning in a case-based explainer. Artificial Intelligence 40 (1989).
- Agnar Aamodt: Explanation-driven case-based reasoning. In S.Wess, K.Althoff, M.Richter (eds.): Topics in case-based reasoning. Springer Verlag, 1994, pp 274-288.
David B. Leake, Matthew Whitehead: Case Provenance: The Value of Remembering Case Sources, ICCBR 2007: Case-Based Reasoning Research and Development. Springer-Verlag, Berlin, 2007, pp. 194-208.
Ralph Bergmann, Martin Schaaf: Structural Case-Based Reasoning and Ontology-Based Knowledge Management: A Perfect Match? Journal of Universal Computer Science, vol. 9, no. 7 (2003), 608-626
Ernesto Ocampoa, Mariana Maceirasa, Silvia Herrerab, Cecilia Maurentea, Daniel Rodriguez, Miguel A. Siciliac: Comparing Bayesian inference and case-based reasoning as support techniques in the diagnosis of Acute Bacterial Meningitis, Expert Systems with Applications Volume 38, Issue 8, August 2011, Pages 10343-10354
- Tore Bruland, Agnar Aamodt, Helge Langseth: Architectures Integrating Case-Based Reasoning and Bayesian Networks for Clinical Decision Support, in Z. Shi et al. (Eds.): IIP 2010, IFIP AICT 340, pp. 82-91, 2010.
- Section a - b means Chapter a from the beginning, and up to and including section b.
- All written material covered in the lectures, exercises and solutions are required reading.