To support more efficient video database management, this paper explores the concept of video association mining, with which the association patterns are characterized by sequenti...
Existing file access predictors keep track of previous file access patterns and rely on a single heuristic to predict which of the previous successors to the file being currently ...
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Multi-label learning arises in many real-world tasks where an object is naturally associated with multiple concepts. It is well-accepted that, in order to achieve a good performan...