Russell Greiner (greiner-r)

Contributions to Philosophie.ch

Bibliography

Cheng, Jie, Greiner, Russell, Kelly, Jonathan, Bell, David A. and Liu, Weiru. 2002. “Learning Bayesian Networks from Data: An Information-Theory Based Approach.” Artificial Intelligence 137(1–2): 43–90.
Greiner, Russell. 1988a. “Learning by Understanding Analogies.” Artificial Intelligence 35(1): 81–125.
Greiner, Russell. 1988b. “Abstraction-Based Analogical Inference.” in Analogical Reasoning. Perspectives of Artificial Intelligence, Cognitive Science and Philosophy, edited by D. H. Helman, pp. 147–170. Synthese Library n. 197. Dordrecht: D. Reidel Publishing Co.
Greiner, Russell. 1991. “Finding Optimal Derivation Strategies in Redundant Knowledge Bases.” Artificial Intelligence 50(1): 95–115.
Greiner, Russell. 1992. “Learning Useful Horn Approximations.” in KR’92: Principles of Knowledge Representation and Reasoning, edited by Bernhard Nebel, Charles Rich, and William R. Swartout, pp. 383–392. San Francisco, California: Morgan Kaufmann Publishers.
Greiner, Russell. 1996. “PALO: A Probabilistic Hill-Climbing Algorithm.” Artificial Intelligence 84(1–2): 177–208.
Greiner, Russell. 1999. “The Complexity of Theory Revision.” Artificial Intelligence 107(2): 175–217.
Greiner, Russell, Grove, Adam J. and Kogan, Alexander. 1997. “Knowing What Doesn’t Matter: Exploiting the Omission of Irrelevant Data.” Artificial Intelligence 97(1–2): 345–380.
Greiner, Russell, Grove, Adam J. and Roth, Dan. 2002. “Learning Cost-Sensitive Active Classifiers.” Artificial Intelligence 139(2): 137–174.
Greiner, Russell and Orponen, Pekka. 1991. “Probably Approximately Optimal Derivation Strategies.” in KR’91: Proceedings of the Second International Conference on Principles of Knowledge Representation and Reasoning, edited by James F. Allen, Richard E. Fikes, and Erik Sandewall, pp. 277–288. San Francisco, California: Morgan Kaufmann Publishers. Article version: Greiner and Orponen (1996).
Greiner, Russell and Orponen, Pekka. 1996. “Probably Approximately Optimal Satisficing Strategies.” Artificial Intelligence 82(1–2): 21–44.
Greiner, Russell, Smith, Barbara A. and Wilkerson, Ralph W. 1989. “A Correction to the Algorithm in Reiter’s Theory of Diagnosis.” Artificial Intelligence 41(1): 79–88.
Greiner, Russell and Subramanian, Devika, eds. 1994. AAAI-94. Working Notes, AAAI Fall Symposium on Relevance. Menlo Park, California: The AAAI Press.
Subramanian, Devika, Greiner, Russell and Pearl, Judea. 1997. “The Relevance of Relevance (Editorial).” Artificial Intelligence 97(1–2): 1–5.