Background: Genome-wide identification of specific oligonucleotides (oligos) is a computationallyintensive task and is a requirement for designing microarray probes, primers, and ...
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Data missing is a common problem in database query processing, which can cause bias or lead to inefficient analyses, and this problem happens more often in sensor databases. The re...
— In DHT based P2P systems, various issues such as peer heterogeneity, network topology, and diverse file popularity, may affect the DHT system efficiency. In this paper, we pr...
The Foundation Coalition and others have been working on the development of Concept Inventory (CI) assessment instruments patterned after the well-known Force Concept Inventory...