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Machine learning presents the often used technique in natural language processing. The choices of learning algorithms, their realizations and practical applications are more than heterogeneous. This paper presents the review of memory based learning organization, the concepts of well-known k-nearest neighbor algorithm and its application in the conversion of texts.
The main goal of this paper is to investigate the performance of rule sets obtained by different techniques based on the rough set theory. The performance of a rule set is defined as its ability to classify a set of objects into predefined classes. The set of rules contains the if then form rules. The set of objects is represented by flat table (table, organized data) where each object is represented...
This paper presents the design, development and implementation of the database and application for the book-keeping of goods of a small trade. The goal is to portray the invoice system and the solutions for the practical conveniences with the emphasis on the customerspsila view on it. The application is created specially to meet the needs of an optometrist and his workshop. The following aspects are...
In this paper I present an environment and algorithm for lazy (incremental) construction of multigram profile models as part of IR (information retrieval) training and exploitation processes. N-grams are traditionally used for natural language text models, but they can be also successfully used for domain independent document classification. I am demonstrating results of a prototype utility which...
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