Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Training recurrent neural networks is hard. Recently it has however been discovered that it is possible to just construct a random recurrent topology, and only train a single linea...
Benjamin Schrauwen, David Verstraeten, Jan M. Van ...
This work was motivated by a discussion that two of the coauthors (computer science professors) had with the other coauthor (a law professor and a former computer crime Trial Atto...
Abstract ? Large enterprise networks consist of thousands of services and applications. The performance and reliability of any particular application may depend on multiple service...
Xu Chen, Ming Zhang, Zhuoqing Morley Mao, Paramvir...
Influence is a complex and subtle force that governs the dynamics of social networks as well as the behaviors of involved users. Understanding influence can benefit various applic...
Lu Liu, Jie Tang, Jiawei Han, Meng Jiang, Shiqiang...