We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
We introduce BubbleSearch, a general approach for extending priority-based greedy heuristics. Following the framework recently developed by Borodin et al., we consider priority al...
The “small world” phenomenon, i.e., the fact that the global social network is strongly connected in the sense that every two persons are inter-related through a small chain o...
Abstract. As more and more person-specific data like health information becomes available, increasing attention is paid to confidentiality and privacy protection. One proposed mode...
The integration of different wireless access technologies combined with the huge characteristic diversity of supported services in next-generation systems creates a real heterogen...