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CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
14 years 21 days ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
CMSB
2006
Springer
13 years 10 months ago
Type Inference in Systems Biology
Type checking and type inference are important concepts and methods of programming languages and software engineering. Type checking is a way to ensure some level of consistency, d...
François Fages, Sylvain Soliman
CORR
2004
Springer
140views Education» more  CORR 2004»
13 years 7 months ago
Integrating Defeasible Argumentation and Machine Learning Techniques
The field of machine learning (ML) is concerned with the question of how to construct algorithms that automatically improve with experience. In recent years many successful ML app...
Sergio Alejandro Gómez, Carlos Iván ...
IWVF
2001
Springer
13 years 11 months ago
Grouping Character Shapes by Means of Genetic Programming
In the framework of an evolutionary approach to machine learning, this paper presents the preliminary version of a learning system that uses Genetic Programming as a tool for autom...
Claudio De Stefano, Antonio Della Cioppa, Angelo M...
IASTEDSE
2004
13 years 8 months ago
A symbolic Java virtual machine for test case generation
Quality management is becoming a more and more important part of the software development process. As software testing is currently understood as the core function of the quality ...
Roger A. Müller, Christoph Lembeck, Herbert K...