Background: Inferring a gene regulatory network (GRN) from high throughput biological data is often an under-determined problem and is a challenging task due to the following reas...
Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
Higher educational institutions are just like companies forced to adapt to the ever faster changing environment. There are several obstacles in the way of introducing e-learning i...
Jaka Linic, Jurij Jaklic, Mojca Indihar Stemberger
This paper presents a concept for the integration of quantitative and qualitative information sources with their accompanying management support functionalities from navigation and...