—This paper studies the problem of minimizing symbol loss probability while keeping the system throughput above a certain threshold in downlink transmission of future OFDMA based...
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...
The Minimum Description Length principle for online sequence estimation/prediction in a proper learning setup is studied. If the underlying model class is discrete, then the total...
Finding a good pattern which discriminates one set of strings from the other set is a critical task in knowledge discovery. In this paper, we review a series of our works concernin...
We present a system for manipulating a wide class of linguistic diagrams, which is configurable and extensible, and allows deployment as a web-delivered system. A major theme of t...