In Web-based services of dynamic content (such as news articles), recommender systems face the difficulty of timely identifying new items of high-quality and providing recommendat...
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Building a model using machine learning that can classify the sentiment of natural language text often requires an extensive set of labeled training data from the same domain as t...
— High variability of access resources in heterogenous wireless networks and limited computing power and battery life of mobile computing devices such as smartphones call for nov...
Dimitrios Tsamis, Tansu Alpcan, Jatinder Pal Singh...
Repositories of code written by end-user programmers are beginning to emerge, but when a piece of code is new or nobody has yet reused it, then current repositories provide users ...
Christopher Scaffidi, Christopher Bogart, Margaret...