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Klasifikace textových dokumentů
Humpolíček, Jiří
In this report, we propose four feature selection algorithms based on the Best Individual Feature method and one based on the sequential method. After that the best method is selected for following classifier methods comparison. In this step we compare classification performance and computation expense of two classifiers based on Naive Bayes and third classifier is SVM. Classification performance is tested on the Reuters data set and Newsgroup data set. Finally we shows results on the multi-labelled subset of the Reuters data set.
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Noisy-or classifier
Vomlel, Jiří
We discuss application of the noisy-or model to classification with large number of attributes. An example of such a task is categorization of text documents, where attributes are single words from the documents.
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Towards classification and terminology of early life history stages in fishes
Peňáz, Milan
This review paper analyses and describes main approaches in the classification of fish ontogeny and concerning terminology, it tries to summarize main results obtained as well as to point out and to discuss the main existing confusing problems, such a differently understood and differently demarcated larval and juvenile life history periods. Important role of absolute yolk amount on the character of early ontogeny, with consequencies on the strategies of reproduction a population dynamics is also emsized.
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