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ICML
2010
IEEE
15 years 7 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
VLDB
2005
ACM
81views Database» more  VLDB 2005»
15 years 11 months ago
Flexible Database Generators
Evaluation and applicability of many database techniques, ranging from access methods, histograms, and optimization strategies to data normalization and mining, crucially depend o...
Nicolas Bruno, Surajit Chaudhuri
PPAM
2007
Springer
15 years 12 months ago
A Container-Iterator Parallel Programming Model
There are several parallel programming models available for numerical computations at different levels of expressibility and ease of use. For the development of new domain speciļ¬...
Gerhard W. Zumbusch
PAKDD
2010
ACM
212views Data Mining» more  PAKDD 2010»
15 years 10 months ago
Fast Perceptron Decision Tree Learning from Evolving Data Streams
Abstract. Mining of data streams must balance three evaluation dimensions: accuracy, time and memory. Excellent accuracy on data streams has been obtained with Naive Bayes Hoeffdi...
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer...
ICCV
1998
IEEE
15 years 10 months ago
Integrated Surface, Curve and Junction Inference from Sparse 3-D Data Sets
We areinterestedin descriptionsof 3-D data sets,as obtained from stereoor a 3-D digitizer. We thereforeconsideras inputa sparsesetof points, possibly associated with certain orien...
Chi-Keung Tang, Gérard G. Medioni