… data, but instead we open source the output model which can be used for classification by
a developer. We use the Caffe deep learning library and CaffeOnSpark; the latter is a powerful …

… makes full use of the characteristics of SDN network, obtains the running state of the
network periodically, and uses the ARIMA model to predict, then corrects the prediction results …

… Furthermore,a linear regression model for the prediction of total gully length at the catchment
level was established using field data,and although it didnot successfully predict the length …

… Within this, English language teaching is predicted to be the … classified as social media
tools and mobile/computer … Some of our participants also use an online service intermediary …

… as cold-start, data sparsity, and user interest drift. This paper summarizes the research status
… classical recommendation methods that are usually classified into the following three main …

Type-1 fuzzy sets can model the linguistic uncertainty from a single user, ie, intra-personal
uncertainty. Type-1 fuzzy systems have been widely used in controls and machine learning …

… - First, collect text data at different layers and use labels to … generates intelligent assets
that can predict the future. For … of knowledge that can predict problems and solutions that the …

… of microblog user behavior research, to analyze user behavior … micro- blog user behavior
and prediction and impact of the user … on the microblog user behavior on the future. Keywords …

… Toward a robot architecture integrating cooperation between mobile robots: application
to indoor environment［J］. International Journal of Robotics Research, 1993, 12(1): 7998. …