Abstract. Robustly estimating the state-transition probabilities of highorder Markov processes is an essential task in many applications such as natural language modeling or protei...
This paper examines the induction of classification rules from examples using real-world data. Real-world data is almost always characterized by two features, which are important ...
In the past five years, we have designed and evolved an interlingua for sharing explanations generated by various automated systems such as hybrid web-based question answering sys...
Deborah L. McGuinness, Li Ding, Paulo Pinheiro da ...
Shark is a research data analysis system built on a novel rained distributed shared-memory abstraction. Shark marries query processing with deep data analysis, providing a unifie...
Cliff Engle, Antonio Lupher, Reynold Xin, Matei Za...
A core problem in data mining is to retrieve data in a easy and human friendly way. Automatically translating natural language questions into SQL queries would allow for the design...