In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language's data...
Traditional mobile ad hoc routing protocols fail to deliver any data in Intermittently Connected Mobile Ad Hoc Networks (ICMN's) because of the absence of complete end-to-end ...
While the canonical behavior of today’s home Internet users involves several residents concurrently executing diverse Internet applications, the most common home configuration ...
Jon Gretarsson, Feng Li, Mingzhe Li, Ashish Samant...
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
In this paper, we introduce the fractal summarization model based on the fractal theory. In fractal summarization, the important information is captured from the source text by ex...