In the paper, we investigate the use of reinforcement learning in CBR for estimating and managing a legacy case base for playing the game of Tetris. Each case corresponds to a loc...
In this paper, we develop a framework for measuring the level of protection offered by relation hiding systems. The framework provides a uniform way to define a variety of privacy ...
The skyline query, as an important operator in databases for multi-preference analysis and decision making, has received much attention recently due to its wide application backgr...
We describe an unsupervised approach to multi-document sentence-extraction based summarization for the task of producing biographies. We utilize Wikipedia to automatically constru...
We demonstrate the effectiveness of multilingual learning for unsupervised part-of-speech tagging. The key hypothesis of multilingual learning is that by combining cues from multi...
Benjamin Snyder, Tahira Naseem, Jacob Eisenstein, ...