We at the DNA Data Bank of Japan (DDBJ) (http://www.ddbj.nig.ac.jp) have recently begun receiving, processing and releasing EST and genome sequence data submitted by various Japanese genome projects. The data include those for human, Arabidopsis thaliana, rice, nematode, Synechocystis sp. and Escherichia coli. Since the quantity of data is very large, we organized teams to conduct preliminary d...

Most inverse classification algorithms address discrete attributes and can not deal with quantitative attributes. In order to overcome the disadvantage, the discretization algorithms are applied to the inverse classification algorithms, and the main idea is: firstly, a group of feature attributes are selected by using feature selection algorithm; then, the quantitative attributes are discretize...

⎯In this paper we investigate the capability of the genetic programming approach for producing hierarchical, rule-based, classification trees. These trees can be seen as an extension to the machine learning decision trees concept, where the predicates here can be complex expressions rather than just simple attribute-value comparisons. In order to improve the search ability and to produce meanin...

A one hundred and twenty specimens (frozen chickens) were gathered from various companies sources at sites in Iraq. the aim of this study to detect virulence gene isolated Ecoli frozen chicken meat shops Iraq investigate distribution antibiotics resistance against papC E coli. The result shows that( n,%) 15, 45 ,33,100, 2,6 , 20, 60.6 26,78.7 % out 33 isolate positive for pap C gene, jutA neuC ...

Abstract Multiclass classification is a fundamental and challenging task in machine learning. The existing techniques of multiclass can be categorized as (1) decomposition into binary (2) extension from (3) hierarchical classification. Decomposing set classifications that efficiently solved by using classifiers, called class binarization, which popular technique for Neuroevolution, general powe...