A non-random data sampling method for classification model assessment

Proceedings - International Conference on Pattern Recognition

Volumn 3, Issue , 2004, Pages 406-409

  Sprevak, Dan ^a   Azuaje, Francisco ^a   Wang, Haiying ^a  

^a UNIVERSITY OF ULSTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL PATTERN RECOGNITION; DATA SAMPLING METHOD; REGRESSION MODELS;

ALGORITHMS; DATA REDUCTION; PATTERN RECOGNITION; REGRESSION ANALYSIS; STATISTICAL METHODS;

NEURAL NETWORKS;

EID: 10044294950     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2004.1334552     Document Type: Conference Paper

References (5)

1. F. Azuaje, "Genomic data sampling and its effect on classification performance assessment", BMC Bioinformatics, 4:5, 2003.
2. R. D. Snee, "Validation of Regression Models: Methods and Examples", Technometrics, 19, 1977, pp. 415-428.
3. D. P. Meegan, and D. Sprevak, "A flexible data splitting algorithm for model verification", COMSTAT, 1980, pp. 297-303.
4. T. R. Golub, D. K. Slonim, P. Tamayo, C. Huard, M. Gassenbeck, J. P. Mesirov, H. Coller, M. L Loh, J. R. Downing, M. A. Caligiuri, C. D. Bloomfield and E. S. Lander, "Molecular classification of cancer: class discovery and class prediction by gene expression monitoring," Science, 286, 1999, pp. 531-537.
5. H. Wang, F. Azuaje, and N. Black, "Improving Biomolecular Pattern Discovery and Visualisation with Hybrid Self-Adaptive Networks", IEEE Transactions on Nanobioscience, 1(4), 2002, pp 146-166.