A development environment for predictive modelling in foods

International Journal of Food Microbiology

Volumn 73, Issue 2-3, 2002, Pages 351-362

  Holmes, G ^a   Hall, M A ^a  

^a UNIVERSITY OF WAIKATO   (New Zealand)

Author keywords

Classification; Inductive modelling software; Regression

Indexed keywords

ALGORITHM; ARTICLE; COMPUTER; COMPUTER INTERFACE; COMPUTER PROGRAM; FOOD CONTROL; MATHEMATICAL MODEL; PREDICTION;

ALGORITHMS; COMPUTER SIMULATION; FOOD MICROBIOLOGY; HUMANS; MODELS, BIOLOGICAL; SOFTWARE; USER-COMPUTER INTERFACE;

GALLIRALLUS AUSTRALIS;

EID: 0037061102     PISSN: 01681605     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0168-1605(01)00671-7     Document Type: Article

References (11)

1. Comparison of consumer and producer perceptions of mushroom quality
2. The use of multiple measurements in taxonomic problems
3. Experiments with a new boosting algorithm
4. Predicting apple bruising using machine learning
5. Applications of connectionism to the classification of kiwifruit berries from visible-near infrared spectral data
6. Wrappers for feature subset selection
7. Efficient algorithms for minimising cross validation error
8. Machine vision for colour inspection of potatoes and apples