We establish structure learning consistency of our algorithms in the large-sample limit, and empirically validate our methods individually and collectively through extensive numerical comparisons. The combined merits of pPC and PATH achieve significant computational reductions compared to the PC algorithm ...
One of the most widely used clustering methods is model-based clustering, in which data clustering is performed by fitting a probabilistic model to the data. Mixture of Gaussian distributions is a commonly used model in model-based clustering. Unfortunately, the number of covariance matrices ...
Image encryption is one of the most methods of information hiding. A novel secure encryption method for image encryption is presented in this study. The pr... NKE Abbadi,A Mohamad,M Abdul-Hameed - 《Journal of Computer Science》 被引量: 7发表: 2014年 Face recognition using m-MSD and SVD...
A Comparative Study of Clustering Methods for Relevant Gene Selection in Microarray Data Classification of microarray cancer data has drawn the attention of research community for better clinical diagnosis in last few years. Microarray datasets... M Sardana,RK Agrawal - 《Advances in Intelligent & Sof...
The proposed method considers the interrelationship betwixt attributes in the identical group; there are other methods capture correlation between attributes except the Xia et al.’s MADM method [25] which captures the correlation for any two attributes. In Example 2, attributes \(Z_{1},Z_{4}...
(see methods for further details). This strategy has previously shown support for Ctenophora sister, in the form of a greater proportion of sites and gene partitions favouring comb jellies over sponges as the sister group to other animals4,40. Until now the method has only been applied with...
In addition, incorporating techniques for dimensionality reduction and clustering with ANN demonstrates the viability of this approach for analyzing large field ... E Amirian,JY Leung,S Zanon,... - 《Expert Systems with Applications An International Journal》 被引量: 18发表: 2015年 A Reduced Order...
One of the most widely used clustering methods is model-based clustering, in which data clustering is performed by fitting a probabilistic model to the data. Mixture of Gaussian distributions is a commonly used model in model-based clustering. Unfortunately, the number of covariance matrices ...
Abstract: Methods and apparatuses for reducing leakage power in a system cache within a memory controller. The system cache is divided into multiple small sections, and each section is supplied with power from a separately controllable power supply. When a section is not being accessed, the voltag...
Partitionatablebyrange,variousmethodstodefinerangesandgranularity Partitionsplacedindifferenttablespaces(capacity,backup/restorestrategies) Tablespaceselectionforpartitionedindexesandlongdatapertablepartition Tablespaceselectionforeachnonpartitionedindex Queriesbenefitfrompartitioneliminationandclusteringofdata ...