This paper investigates an approach to model the space of brain images through a low-dimensional manifold. A data driven method to learn a manifold from a collections of brain imag...
Samuel Gerber, Tolga Tasdizen, Sarang C. Joshi, Ro...
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
Web forums have become an important data resource for many web applications, but extracting structured data from unstructured web forum pages is still a challenging task due to bo...
Jiang-Ming Yang, Rui Cai, Yida Wang, Jun Zhu, Lei ...
Not only the communication capabilities of 802.11, but also the capability to determine the position of mobile devices make 802.11 highly appealing for many application areas. Typ...
Thomas King, Thomas Haenselmann, Stephan Kopf, Wol...