Finding social influencers is a fundamental task in many online applications ranging from
brand marketing to opinion mining. Existing methods heavily rely on the availability of expert …

Technological advances led to the generation of large scale complex data. Thus, extraction
and retrieval of information to automatically discover latent pattern have been largely studied …

Deep learning algorithms are the hottest topics in machine learning area lately. Although
deep learning has made great progress in many domains, the robustness of learning …

The pattern of molecular evolution varies among gene sites and genes in a genome. By
taking into account the complex heterogeneity of evolutionary processes among sites in a …

Neural network models are popularly used in Chinese word segmentation task. The capsule
architecture is proposed recently which has solved some defects of convolutional neural …

In this article, we propose an effective mixture model-based approach to modeling and
clustering positive data vectors. Our mixture model is based on the inverted Beta-Liouville …

In supervised learning, the gap between the truth label and the model output is always
portrayed by an error function, and a fixed error function corresponds to a specific noise …

With the emergence of various vehicular apps for automotive navigation, driving safety, and
in-car entertainment system, vehicular social data is starting to explode. Such an explosion …

Fog computing paradigm extends computing, communication, storage, and network
resources to the network's edge. As the fog layer is located between cloud and end-users, it …

Time series of proportions arise in many contexts. In this paper, we consider a hidden
Markov model (HMM) to describe temporal dependence in such series. In so doing, we …