Restricted Boltzmann Machines (RBMs) are an important class of latent variable models for representing vector data. An under-explored area is multimode data, where each data point...
Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha...
Topic modeling techniques have the benefits of modeling words and documents uniformly under a probabilistic framework. However, they also suffer from the limitations of sensitivi...
Ziqiang Cao, Sujian Li, Yang Liu, Wenjie Li, Heng ...
Bursty topics discovery in microblogs is important for people to grasp essential and valuable information. However, the task is challenging since microblog posts are particularly ...
Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueq...
In this work we give a first tractability analysis of Compressed Path Databases, space efficient oracles used to very quickly identify the first arc on a shortest path. We stud...
Abstract Designing a suitable communication protocol is a key challenge in engineering a multiagent system. This paper proposes Muon, an approach that begins from representative sa...
The study of information cascade in multiplex networks where agents are connected by multiple linking types has received increasing interest. Comparing with the cascade in simplex...