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NPL
2000
95views more  NPL 2000»
15 years 4 months ago
Bayesian Sampling and Ensemble Learning in Generative Topographic Mapping
Generative topographic mapping (GTM) is a statistical model to extract a hidden smooth manifold from data, like the self-organizing map (SOM). Although a deterministic search algo...
Akio Utsugi
KDD
2009
ACM
229views Data Mining» more  KDD 2009»
16 years 5 months ago
Relational learning via latent social dimensions
Social media such as blogs, Facebook, Flickr, etc., presents data in a network format rather than classical IID distribution. To address the interdependency among data instances, ...
Lei Tang, Huan Liu
INFSOF
2007
139views more  INFSOF 2007»
15 years 4 months ago
Predicting software defects in varying development lifecycles using Bayesian nets
An important decision problem in many software projects is when to stop testing and release software for use. For many software products, time to market is critical and therefore ...
Norman E. Fenton, Martin Neil, William Marsh, Pete...
SIGMOD
2006
ACM
116views Database» more  SIGMOD 2006»
16 years 4 months ago
Extensible optimization in overlay dissemination trees
We introduce XPORT, a profile-driven distributed data dissemination system that supports an extensible set of data types, profile types, and optimization metrics. XPORT efficientl...
Olga Papaemmanouil, Yanif Ahmad, Ugur Çetin...
ICDE
2008
IEEE
133views Database» more  ICDE 2008»
16 years 5 months ago
Database Support for Probabilistic Attributes and Tuples
Abstract-- The inherent uncertainty of data present in numerous applications such as sensor databases, text annotations, and information retrieval motivate the need to handle impre...
Sarvjeet Singh, Chris Mayfield, Rahul Shah, Sunil ...