Pattern classification for incomplete data

4th International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies, KES 2000 - Proceedings

Volumn 1, Issue , 2000, Pages 454-457

  Gabrys, Bogdan ^a  

^a UNIVERSITY OF THE WEST OF SCOTLAND   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

PATTERN RECOGNITION; COMPUTER SIMULATION; FUZZY SETS; MEMBERSHIP FUNCTIONS; NEURAL NETWORKS;

CLASSIFICATION DECISION; CLUSTER PROTOTYPE; DATA CLUSTERS; FUZZY MIN-MAX NEURAL NETWORKS; HIGH-DIMENSIONAL; HIGHER-DIMENSIONAL; INCOMPLETE DATA; MISSING VALUES; PATTERNS CLASSIFICATION; SUBSTITUTION SCHEME;

CLASSIFICATION (OF INFORMATION); PATTERN RECOGNITION;

GENERAL FUZZY MIN-MAX (GFMM) NEURAL NETWORKS; MISSING VALUES;

EID: 0033652051     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/KES.2000.885854     Document Type: Conference Paper

References (8)

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3. B.Gabrys, A.Bargiela, "General Fuzzy Min-Max Neural Network for Clustering and Classification", accepted for publication in IEEE Transactions on Neural Networks, 2000
4. Z.Ghahramani, M.I.Jordan, "Supervised Learning from Incomplete Data via an EM Approach", In: Cowan, J.D., Tesauro, G., and Alspector, J., eds., Advances in Neural Information Processing Systems 6, San Mateo, CA, Morgan Kaufman, 1994
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7. P.K.Sharpe, R.J.Solly, "Dealing with Missing Values in Neural Network-Based Diagnostic Systems", Neural Computing & Applications, vol. 3, pp.73-77, 1995
8. V.Tresp, R.Neuneier, S.Ahmad, "Efficient Methods for Dealing with Missing Data in Supervised Learning", In: G.Tesauro, D.S.Touretzky and K.Leen, eds.. Advances in Neural Information Processing Systems, MIT Press, Cambridge MA, 1995