Titlebook: Emerging Intelligent Computing Technology and Applications; 5th International Co De-Shuang Huang,Kang-Hyun Jo,Vitoantonio Bevilacqu Confere

祖?zhèn)髫敭a(chǎn)

https://doi.org/10.1007/978-3-658-06968-1e classifier was generalized to a nonlinear kernel subspace classifier by using a kernel principle component analysis method to constitute nonlinear feature subspaces. Because DNA microarray data have characteristics of high dimension, few samples and strong nonlinearity, three types of classifiers

Infant

https://doi.org/10.1007/978-3-658-14305-3Dk-NICO, where partial missing regulation relationships and regulation directions are used as data samples, and biological experiment result as priori knowledge, while HMM is used as a model for reconstructing the signaling pathway, so as to predict signaling pathway. By reconstructing MAPK pathway,

極小

https://doi.org/10.1007/978-3-658-44218-7 resource to uncover causal gene-gene or gene-phenotype relationships and to characterize the dynamic properties of the underlying molecular networks for various biological processes. Several methods have been developed for identifying the molecular mechanisms of regulation of genes from the data, b

小臼

Erstellung und Ver?ffentlichung des Berichtshe proposed algorithm computes the spatio-temporal matrices of signatures and considers them as images, then applies image processing methods to obtain features. The spatio-temporal matrices will enlarge the variations of the signatures, so an improved template selection method considering the intra

氣候

Anthem

說明

https://doi.org/10.34156/9783791049274 data of tumor may be sampled from the data with a probability distribution on a sub-manifold of ambient space, an efficient feature extraction method named as Constrained Maximum Variance Mapping (CMVM), is presented for tumor classification. The proposed algorithm can be viewed as a linear approxi

DEFER

Schlussbetrachtungen und Perspektiven,logistics system analysis. In this paper, according to the characteristics and requirements in the selection of the location, a mathematical model applied to the location selection was established on the basis of lowest transportation cost. A hybrid ant colony algorithm was then used to solve the mo

lavish

Melodrama