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A Neurosymbolic Approach to the Classification of Scarce and Complex Data (1999)  (Make Corrections)  (1 citation)
Maria Margarita Dorotea Sordo Sanchez



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Abstract: A consistent pattern of changes in the 31 P MR spectra of normal premenopausal breast during the menstrual cycle has been observed. These encouraging preliminary data suggest that magnetic resonance spectroscopy (MRS) may have a role in monitoring hormone-dependent... (Update)

Context of citations to this paper:   More

...unsuitable classification technique when the available data is scarce. To overcome this drawback, new techniques have been developed (see [5] for a review) Among them, Knowledge Based Artificial Neural Networks (KBANNs) a hybrid methodology that allows the combination of...

Cited by:   More
A Hybrid Approach to Breast Cancer Diagnosis - Sordo, Buxton, Watson (2001)   (Correct)

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BibTeX entry:   (Update)

Sordo, M. (1999). A Neurosymbolic Approach to the Classification of Scarce and Complex Data. D.Phil. thesis, University of Sussex, Brighton, UK. http://citeseer.ist.psu.edu/sordosanchez99neurosymbolic.html   More

@misc{ sordo99neurosymbolic,
  author = "M. Sordo",
  title = "A Neurosymbolic Approach to the Classification of Scarce and Complex Data",
  text = "Sordo, M. (1999). A Neurosymbolic Approach to the Classification of Scarce
    and Complex Data. D.Phil. thesis, University of Sussex, Brighton, UK.",
  year = "1999",
  url = "citeseer.ist.psu.edu/sordosanchez99neurosymbolic.html" }
Citations (may not include all citations):
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Documents on the same site (http://www.acl.icnet.uk/lab/sordo.html):
A Hybrid Approach to Breast Cancer Diagnosis - Sordo, Buxton, Watson (2001)   (Correct)

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