1.11 B.6 Artificial intelligence and pattern recognition

Chapter Contents (Back)

Rogers, S.K., Fogel, D.B., Bezdek, J.C., Bosacchi, B.,
Applications And Science Of Computational Intelligence (Orlando, Fl, April 1316,
1998), Proc. SPIE 3390. BibRef

Ieee International Joint Symposia On Intelligence And Systems, Washington, Dc,
May 21-231998. BibRef

Iasted International Conference On Artificial Intelligence And Soft Computing, Cancun, Mexico,
May 27-301998. BibRef

Eleventh International Conference On Industrial And Engineering Applications Of Artificial Intelligence And Expert Systems, Castellon, Spain,
June 1-41998. BibRef

International Conference On Artificial Intelligence For Engineering, Wohan, China,
June 23-251998. BibRef

Bezdek, J.C., Bosacchi, B., Fogel, D.B.,
Applications And Science Of Neural Networks, Fuzzy Systems, And Evolutionary Computation (San Diego, Ca, July 20-22,
1998), Proc. SPIE 3455. BibRef

Aaai '98, Fifteenth National Conference On Artificial Intelligence, Madison, Wi,
July 26-301998. BibRef

Amin, A., Dori, D., Pudil, P., Freeman, H.,
Advances In Pattern Recognition Seventh International Workshop On Structural And Syntactic Pattern Recognition, And Second International Workshop On Statistical Techniques In Pattern Recognition, Sydney, Australia, August 11-13, 1998,) Springer,
Berlin1998. BibRef

Grenander, U.,
General Pattern Theory|A Mathematical Study Of Regular Structures, Oxford University Press,
New(York), pp. 1994. BibRef

Furukawa, K., Michie, D., Muggleton, S.,
Machine Intelligence 13|Machine Intelligence And Inductive Learning, Oxford University Press,
New York1994. BibRef

Furukawa, K., Michie, D., Muggleton, S.,
Machine Intelligence 14|Applied Machine Intelligence, Oxford University Press,
New York1996. BibRef

Jang, J.S.R., Sun, C.T., Mizutani, E.,
Neuro-Fuzzy And Soft Computing|A Computational Approach To Learning And Machine Intelligence, Prentice-Hall, Upper Saddle River,
NJ 98(1997). BibRef

Friedman, M., Kandel, A.,
Introduction To Pattern Recognition|Statistical, Structural, Neural, And Fuzzy Logic Approaches, World Scientific,
Singapore 98(1998). BibRef

Jolion, J.M., Kropatsch, W.G.,
Graph Based Representations In Pattern Recognition, Springer,
Vienna 98(1998). BibRef

Mordeson, J.N., Nair, P.S.,
Fuzzy Mathematics|An Introduction For Engineers And Scientists, Physica-Verlag, Heidelberg,
Germany 98(1999). BibRef

Stoddart, A.J., Petrou, M., Kittle, J.,
r 98(On the foundations of probabilistic). BibRef

relaxation with product support, JMIV 9, 1998, 29-48.

Fu, A.M.N., Yan, H.,
A New Probabilistic Relaxation Method Based On Probability Space Partition,
PR(30), 1997, pp. 1905-1917. BibRef

Li, S.Z., Soh, W.Y.C., Teoh, E.K.,
Relaxation Labeling Using Augmented Lagrange-Hopfield Method,
PR(31), 1998, pp. 73-81. BibRef

Oommen, B.J., Kashyap, R.L.,
A Formal Theory For Optimal And Information Theoretic Syntactic Pattern Recognition,
PR(31), 1998, pp. 1159-1177. BibRef

Smyth, P.,
Belief Networks, Hidden Markov Models, And Markov Random Fields: A Unifying View,
PRL(18), 1998, pp. 1261-1268. BibRef

Etxeberria, R., Larranaga, P., Picaza, J.M.,
Analysis Of The Behaviour Of Genetic Algorithms When Learning Bayesian Network Structure From Data,
PRL(18), 1998, pp. 1269-1273. BibRef

Chapter on Rosenfeld Bibliography for 1998 continues in
C. Applications .

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