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» When does Co-training Work in Real Data
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124
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JAT
2006
64views more  JAT 2006»
15 years 3 months ago
Nonlinear function approximation: Computing smooth solutions with an adaptive greedy algorithm
Opposed to linear schemes, nonlinear function approximation allows to obtain a dimension independent rate of convergence. Unfortunately, in the presence of data noise typical algo...
Andreas Hofinger
164
Voted
ESWS
2008
Springer
15 years 5 months ago
Querying Distributed RDF Data Sources with SPARQL
Integrated access to multiple distributed and autonomous RDF data sources is a key challenge for many semantic web applications. As a reaction to this challenge, SPARQL, the W3C Re...
Bastian Quilitz, Ulf Leser
123
Voted
ICTAI
2009
IEEE
15 years 10 months ago
FlockStream: A Bio-Inspired Algorithm for Clustering Evolving Data Streams
Existing density-based data stream clustering algorithms use a two-phase scheme approach consisting of an online phase, in which raw data is processed to gather summary statistics...
Agostino Forestiero, Clara Pizzuti, Giandomenico S...
ICDE
2004
IEEE
125views Database» more  ICDE 2004»
16 years 5 months ago
Range CUBE: Efficient Cube Computation by Exploiting Data Correlation
Data cube computation and representation are prohibitively expensive in terms of time and space. Prior work has focused on either reducing the computation time or condensing the r...
Ying Feng, Divyakant Agrawal, Amr El Abbadi, Ahmed...
145
Voted
ESORICS
2006
Springer
15 years 7 months ago
Privacy-Preserving Queries on Encrypted Data
Data confidentiality is a major concern in database systems. Encryption is a useful tool for protecting the confidentiality of sensitive data. However, when data is encrypted, perf...
Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright