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» Querying Semi-Structured Data
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NIPS
2007
15 years 8 months ago
Active Preference Learning with Discrete Choice Data
We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
Eric Brochu, Nando de Freitas, Abhijeet Ghosh
NDQA
2003
123views Education» more  NDQA 2003»
15 years 8 months ago
HITIQA: A Data Driven Approach to Interactive Question Answering: A Preliminary Report
HITIQA is an interactive question answering technology designed to allow intelligence analysts and other users of information systems to pose questions in natural language and obt...
Sharon Small, Nobuyuki Shimizu, Tomek Strzalkowski...
TKDE
1998
117views more  TKDE 1998»
15 years 6 months ago
Data Resource Selection in Distributed Visual Information Systems
With the increasing number of geographical image databases on the Internet, it is a very important issue to know about the most relevant image databases for given user queries, in...
Wendy Chang, Gholamhosein Sheikholeslami, Jia Wang...
COMAD
2008
15 years 8 months ago
Runtime Optimization of Continuous Queries
In data stream processing systems, Quality of Service (or QoS) requirements, as specified by users, are extremely important. Unlike in a database management system (DBMS), a query...
Balakumar Kendai, Sharma Chakravarthy
ICDT
2010
ACM
219views Database» more  ICDT 2010»
16 years 4 months ago
Aggregate Queries for Discrete and Continuous Probabilistic XML
Sources of data uncertainty and imprecision are numerous. A way to handle this uncertainty is to associate probabilistic annotations to data. Many such probabilistic database mode...
Serge Abiteboul, T.-H Hubert Chan, Evgeny Kharlamo...