Information Technology Reference
In-Depth Information
592 Advanced Artificial Intelligence
Fisher, D.H. and P. Langley. (1985) Approaches to conceptual clustering. In
Proceedings
of IJCAI-85
, Los Angeles, Calif.
Fisher, D.H. (1987a) Improving inference through conceptual clustering. In
Proceedings
of AAAI-87
, Seattle, Washington.
Fisher, D.H. (1987b) Knowledge acquisition via incremental conceptual clustering.
Machine Learning
, 2: 139-172.
Fisher, D.H. and K.B. McKusick. (1989) An empirical comparison of ID3 and back-
propagation. In
Proceedings of IJCAI-89
, Detroit, Michigan USA.
Fisher, D.H. (1989) Noise-tolerant conceptual clustering. In
Proceedings of IJCAI-89
,
Detroit, Michigan USA.
Fitzpatrick, J.M. and J.J. Grefenstette. (1988) Genetic algorithms in noisy environments.
Machine Learning
, 3(2): 101.
Flach, P.A. (1987) Second-order inductive learning. In Jantke, K.P., (editors),
Analogical
and Inductive Inference
, Springer-Verlag.
Forbus, K.D. (1984) Qualitative Process Theory.
Artificial Intelligence
, Vol. 24,96-168,
1984.
Forbus, K.D. and D. Gentner. (1986) Learning physical domains: toward a theoretic
framework. In Michalski, R.S. and J.G. Carbonell and T.M. Mitchell (editors),
Machine Learning: An Artificial Intelligence
, Morgan Kaufmann.
Forbus, K.D., P. Nielsen and B. Faltings. (1991) Qualitative spatial reasoning: the
CLOCK project.
Artificial Intelligence
, Vol. 51, 417-471.
Forbus, K.D. (1993) Qualitative Process Theory: twelve years after.
Artificial
Intelligence
, 59, 115-123.
Forsyth, R. (1984) Machine learning systems. In
Proceedings of the Association for
Library and Information Management
, London.
Freeman-Benson, B. and A. Borning. (1992) Integrating Constraints with an object-
Oriented language, In
Proceedings of the 1992 European Conference on Object-
Oriented Programming
, 268-286.
Freund, Y. Schapire, R. E. (1995) A decision-theoretic generalization of on-line learning
and an application to boosting.
Proc. Of the Second European Conference on
Freuder, E.L. (1982) A sufficient condition of backtracking-free search.
J. ACM
, 29(1):
24-32.
Freuder, E.L. (1988) Backtrack-Free and backtrack bound Search. In
Search in Artificial
Intelligence
Computational Learning
, L. Kanal and V. Kumar (eds.), 343-369,New York: Springer-Verlag.
Freuder, E.L. (1989) Partial constraint satisfaction, in
Proceedings of IJCAI-89
, 278-283.
Fu, Wai-Tat, John R. Anderson. (2006) From Recurrent Choice to Skill Learning: A
Reinforcement-Learning Model. Journal of Experimental Psychology: General
135
(2): 184 -206.
Gallier, J.H. (1986)
Logic for Computer Science
. Harper and Row.
Galton, A. (1993) Towards an integrated logic of space, time and motion.
IJCAI-93
,
1550-1555.
Genello, R. and F. Mana. (1991) Rigel: an inductive learning system.
Machine Learning
,
6(1): 7-35.
Gasser, L., C. Bragaza and N. Herman. (1987) MACE: A flexible testbed for distributed
AI research, in
Distributed Artificial Intelligence
, Pitman Publishing.