We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
imately 20 million abstracts. Browsing such a huge repository to find relevant information as well as providing elearning service requires new generation of interfaces. Methods suc...
Mohammed Yeasin, Bhanu Vanteru, Jahangheer S. Shai...
: Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. Several agent-based application have been already c...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek, S...
Abstract—The application of neural networks (NN’s) to automatic analysis of chromosome images is investigated in this paper. All aspects of the analysis, namely segmentation, f...
This paper presents research that led to the design and implementation of an extensible and scalable software framework for the dynamic 3D visualization of simulated construction ...