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ORCIDArtificial Intelligence Review, Volume 13
Volume 13, Number 1, February 1999
- Johannes Fürnkranz
:
Separate-and-Conquer Rule Learning. 3-54 - Harry W. Agius, Marios C. Angelides:
Developing Knowledge-Based Intelligent Multimedia Tutoring Systems Using Semantic Content-Based Modelling. 55-83
Volume 13, Number 2, April 1999
- Andrea Schaerf:
A Survey of Automated Timetabling. 87-127 - Pedro Larrañaga, Cindy M. H. Kuijpers, Roberto H. Murga, Iñaki Inza, S. Dizdarevic:
Genetic Algorithms for the Travelling Salesman Problem: A Review of Representations and Operators. 129-170
Volume 13, Number 3, June 1999
- Christopher MacLeod, Geva Dror, Grant M. Maxwell:
Training Artificial Neural Networks Using Taguchi Methods. 177-184 - Luís M. M. Custódio, Carlos A. Pinto-Ferreira:
Many Birds Fly, Some Don't. 185-200 - Fausto Giunchiglia:
Using Abstrips Abstractions - Where do We Stand? 201-213 - Edward P. K. Tsang:
A Glimpse of Constraint Satisfaction. 215-227 - Paul McKevitt:
Conference Report on The Eighth Ireland Conference on Artificial Intelligence and Cognitive Science (AICS-97), September 10-13, 1997. 229-238
Volume 13, Number 4, August 1999
- Chris Thornton:
What do Constructive Learners Really Learn? 249-257 - Susan M. Haller:
An Introduction to Interactive Discourse Processing from the Perspective of Plan Recognition and Text Planning. 259-311 - Atsushi Shimojima:
The Graphic-Linguistic Distinction Exploring Alternatives. 313-335 - Visakan Kadirkamanathan:
Fuzzy Logic and Control: Software and Hardware Applications. Mohammad Jamshidi, Nader Vadiee and Timothy J. Ross (eds.). 337-339
Volume 13, Numbers 5-6, December 1999
- Shivakumar Vaithyanathan:
Introduction: Data Mining on the Internet. 343-344 - Krista Lagus, Timo Honkela, Samuel Kaski, Teuvo Kohonen:
Websom for Textual Data Mining. 345-364 - Daniel Boley, Maria L. Gini, Robert Gross, Eui-Hong Han, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore:
Document Categorization and Query Generation on the World Wide Web Using WebACE. 365-391 - Michael J. Pazzani:
A Framework for Collaborative, Content-Based and Demographic Filtering. 393-408 - Soumen Chakrabarti, Byron Dom, David Gibson, Ravi Kumar, Prabhakar Raghavan, Sridhar Rajagopalan, Andrew Tomkins:
Topic Distillation and Spectral Filtering. 409-435 - Andrea Houston, Hsinchun Chen, Susan Molloy Hubbard, Bruce R. Schatz, Tobun D. Ng, Robin R. Sewell, Kristin M. Tolle:
Medical Data Mining on the Internet: Research on a Cancer Information System. 437-466
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