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» Efficient Learning of Semi-structured Data from Queries
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247
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ICDE
2007
IEEE
219views Database» more  ICDE 2007»
16 years 4 months ago
Efficient Keyword Search Across Heterogeneous Relational Databases
Keyword search is a familiar and potentially effective way to find information of interest that is "locked" inside relational databases. Current work has generally assum...
Mayssam Sayyadian, Hieu LeKhac, AnHai Doan, Luis G...
166
Voted
ICML
2008
IEEE
16 years 4 months ago
Discriminative parameter learning for Bayesian networks
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwi...
182
Voted
PVLDB
2008
232views more  PVLDB 2008»
15 years 1 months ago
FINCH: evaluating reverse k-Nearest-Neighbor queries on location data
A Reverse k-Nearest-Neighbor (RkNN) query finds the objects that take the query object as one of their k nearest neighbors. In this paper we propose new solutions for evaluating R...
Wei Wu, Fei Yang, Chee Yong Chan, Kian-Lee Tan
ICDE
2009
IEEE
147views Database» more  ICDE 2009»
16 years 5 months ago
Separating Authentication from Query Execution in Outsourced Databases
-- In the database outsourcing paradigm, a data owner (DO) delegates its DBMS administration to a specialized service provider (SP) that receives and processes queries from clients...
Stavros Papadopoulos, Dimitris Papadias, Weiwei Ch...
NIPS
2007
15 years 4 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