Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
In most of the cases, scientists depend on previous literature which is relevant to their research fields for developing new ideas. However, it is not wise, nor possible, to trac...
Rui Yan, Jie Tang, Xiaobing Liu, Dongdong Shan, Xi...
Today, a number of algorithms exist for constructing tag hierarchies from social tagging data. While these algorithms were designed with ontological goals in mind, we know very li...
The past few years have seen an explosive growth in scientific and regulatory documents related to the patent system. Relevant information is siloed into many heterogeneous and di...
Siddharth Taduri, Gloria T. Lau, Kincho H. Law, Ha...
Abstract—Grids can efficiently deal with challenging computational and data processing tasks which cutting edge science is generating today. So-called e-Science grids cope with ...
Chris Develder, Jens Buysse, Ali Shaikh, Brigitte ...