Classification accuracy of algorithms for blood chemistry data for three aquaculture-affected marine fish species-Reference-Cited by-同舟云学术

Classification accuracy of algorithms for blood chemistry data for three aquaculture-affected marine fish species

Published:2008-11-22 Issue:4 Volume:35 Page:641-647
ISSN:0920-1742
Container-title:Fish Physiology and Biochemistry
language:en
Short-container-title:Fish Physiol Biochem

Author:

Coz-Rakovac R.,Topic Popovic N.,Smuc T.,Strunjak-Perovic I.,Jadan M.

Publisher

Springer Science and Business Media LLC

Subject

Aquatic Science,General Medicine,Physiology,Biochemistry

Link

http://link.springer.com/content/pdf/10.1007/s10695-008-9288-0.pdf

Reference20 articles.

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2. Breiman L (2001) Random forests. Mach Learn J 45:5–32. doi: 10.1023/A:1010933404324

3. Burtis CA, Ashwood ER, Aldrich JE (1996) Tietz fundamentals of clinical chemistry. WB Saunders, Philadelphia, PA

4. Christofilogiannis P (1993) The veterinary approach to sea bass and sea bream. In: Brown L (ed) Aquaculture for veterinarians. Pergamon Press, Oxford, pp 379–395

5. Cowey CB, Walton MJ (1989) Intermediary metabolism. In: Halver JE (ed) Fish Nutrition, 2nd edn. Academic Press, New York, pp 259–329

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