Automatic diagnosis of primary headaches by machine learning methods
Primary headaches are common disease of the modern society and it has high negative
impact on the productivity and the life quality of the affected person. Unfortunately, the …
impact on the productivity and the life quality of the affected person. Unfortunately, the …
VOCs classification based on the committee of classifiers coupled with single sensor signals
A gas classification method based on a Multiple Classifiers System (MCS) is presented in
this paper. The novelty of the approach consists in utilizing a signal of one sensor as the …
this paper. The novelty of the approach consists in utilizing a signal of one sensor as the …
On optimal settings of classification tree ensembles for medical decision support
M Budnik, B Krawczyk - Health informatics journal, 2013 - journals.sagepub.com
Pattern recognition and machine learning methods provide an attractive approach for
building decision support systems. Classification trees are frequently used algorithms for …
building decision support systems. Classification trees are frequently used algorithms for …
Cost‐sensitive methods of constructing hierarchical classifiers
W Penar, M Wozniak - Expert Systems, 2010 - Wiley Online Library
The cost of a future exploitation of a decision support system plays a key role. The paper
deals with the problem of feature value acquisition cost for such systems. We present a …
deals with the problem of feature value acquisition cost for such systems. We present a …
Fuzzy One‐Class Classification Model Using Contamination Neighborhoods
LV Utkin - Advances in Fuzzy Systems, 2012 - Wiley Online Library
A fuzzy classification model is studied in the paper. It is based on the contaminated (robust)
model which produces fuzzy expected risk measures characterizing classification errors …
model which produces fuzzy expected risk measures characterizing classification errors …
Construction of sequential classifier using confusion matrix
This paper presents the problem of building the decision scheme in the multistage pattern
recognition task. This task can be presented using a decision tree. This decision tree is built …
recognition task. This task can be presented using a decision tree. This decision tree is built …
Imprecise information in Bayes classifier
R Burduk - Pattern Analysis and Applications, 2012 - Springer
The paper considers the problem of classification error in pattern recognition. This model of
classification is primarily based on the Bayes rule and secondarily on the notion of …
classification is primarily based on the Bayes rule and secondarily on the notion of …
Classifier committee based on feature selection method for obstructive nephropathy diagnosis
B Krawczyk - Semantic Methods for Knowledge Management and …, 2011 - Springer
The article presents a multiple classifiers approach to the obstructive nephropathy
recognition-a disease posing a significant threat to newborns. Nature of the data reflects a …
recognition-a disease posing a significant threat to newborns. Nature of the data reflects a …
[PDF][PDF] The new upper bound on the probability of error in a binary tree classifier with fuzzy information
R Burduk - Neural Network World, 2010 - researchgate.net
The paper considers the mixture of randomness and fuzziness in a binary tree classifier.
This model of classification is based on fuzzy observations, the randomness of classes and …
This model of classification is based on fuzzy observations, the randomness of classes and …
Costs-sensitive classification in multistage classifier with fuzzy observations of object features
R Burduk - Hybrid Artificial Intelligent Systems: 6th International …, 2011 - Springer
In the paper the problem of cost in hierarchical classifier is presented. Assuming that both
the tree structure and the feature used at each non-terminal node have been specified, we …
the tree structure and the feature used at each non-terminal node have been specified, we …