We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Active learning is an e ective learning approach. In this paper, we present an intelligent agent assisted environment for active learning. The system is to better support studentc...
In computer assisted diagnostics nowadays, high-value 3-D visualization intake a supporting role to the traditional 2-D slice wise visualization. 3-D visualization may create intui...
Interactions that determinecellular fate are exceedingly complex, can take place at different levels of gene regulation and involve a large numberof components(such as genes, prot...
—In this paper we present a novel interactive method and interface techniques for controlling the behavior of physically-based simulation of deformable objects. The goal of our r...