منابع مشابه
Transparent, Online Image Pattern Classification Using a Learning Classifier System
Image pattern classification in computer vision problems is challenging due to large, sparse input spaces with the added demand for generalisation and accuracy of results. The Evolutionary Computation technique of Learning Classifier Systems (LCS) addresses such problems, but has not been applied previously to this domain. Instead, offline, supervised techniques on fixed data sets have been sho...
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Basically, medical diagnosis problems are the most effective component of treatment policies. Recently, significant advances have been formed in medical diagnosis fields using data mining techniques. Data mining or Knowledge Discovery is searching large databases to discover patterns and evaluate the probability of next occurrences. In this paper, Bayesian Classifier is used as a Non-linear dat...
متن کاملA Probabilistic Bayesian Classifier Approach for Breast Cancer Diagnosis and Prognosis
Basically, medical diagnosis problems are the most effective component of treatment policies. Recently, significant advances have been formed in medical diagnosis fields using data mining techniques. Data mining or Knowledge Discovery is searching large databases to discover patterns and evaluate the probability of next occurrences. In this paper, Bayesian Classifier is used as a Non-linear dat...
متن کاملClassifier Ensemble Framework: a Diversity Based Approach
Pattern recognition systems are widely used in a host of different fields. Due to some reasons such as lack of knowledge about a method based on which the best classifier is detected for any arbitrary problem, and thanks to significant improvement in accuracy, researchers turn to ensemble methods in almost every task of pattern recognition. Classification as a major task in pattern recognition,...
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ژورنال
عنوان ژورنال: Health Informatics Journal
سال: 2018
ISSN: 1460-4582,1741-2811
DOI: 10.1177/1460458218817800