Displaying similar documents to “Completing an uncertainty criterion of classification.”

KIS: An automated attribute induction method for classification of DNA sequences

Rafał Biedrzycki, Jarosław Arabas (2012)

International Journal of Applied Mathematics and Computer Science

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This paper presents an application of methods from the machine learning domain to solving the task of DNA sequence recognition. We present an algorithm that learns to recognize groups of DNA sequences sharing common features such as sequence functionality. We demonstrate application of the algorithm to find splice sites, i.e., to properly detect donor and acceptor sequences. We compare the results with those of reference methods that have been designed and tuned to detect splice sites....

IctNeo system for jaundice management

C. Bielza, M. Gómez, S. Ríos-Insua, J. A. Fernández Del Pozo, P. García Barreno, S. Caballero, M. Sánchez Luna (1998)

Revista de la Real Academia de Ciencias Exactas Físicas y Naturales

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Building adaptive tests using Bayesian networks

Jiří Vomlel (2004)

Kybernetika

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We propose a framework for building decision strategies using Bayesian network models and discuss its application to adaptive testing. Dynamic programming and A O ☆ algorithm are used to find optimal adaptive tests. The proposed A O ☆ algorithm is based on a new admissible heuristic function.

Data mining techniques using decision tree model in materialised projection and selection view.

Y. W. Teh (2004)

Mathware and Soft Computing

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With the availability of very large data storage today, redundant data structures are no longer a big issue. However, an intelligent way of managing materialised projection and selection views that can lead to fast access of data is the central issue dealt with in this paper. A set of implementation steps for the data warehouse administrators or decision makers to improve the response time of queries is also defined. The study concludes that both attributes and tuples, are important...