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» Propagating Class and Method Combination
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COLING
2002
14 years 9 months ago
Combining Unsupervised and Supervised Methods for PP Attachment Disambiguation
Statistical methods for PP attachment fall into two classes according to the training material used: first, unsupervised methods trained on raw text corpora and second, supervised...
Martin Volk
EUSFLAT
2009
679views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
Combining Wavelets and Computational Intelligence Methods with Applications on Multi-class Classification Datasets
In this paper, we propose a novel algorithm for wavelet feature extraction as input to a supervised Multi-Class Classifier to improve classification performance. In particular, to ...
Carlos Campos Bracho
167
Voted
ICDE
1996
IEEE
126views Database» more  ICDE 1996»
15 years 11 months ago
Using Object-Oriented Principles to Optimize Update Propagation to Materialized Views
View materialization is known to be a valuable technique for performance optimization in relational databases, and much work has been done addressing the problem of consistently m...
Harumi A. Kuno, Elke A. Rundensteiner
JMLR
2006
148views more  JMLR 2006»
14 years 9 months ago
Walk-Sums and Belief Propagation in Gaussian Graphical Models
We present a new framework based on walks in a graph for analysis and inference in Gaussian graphical models. The key idea is to decompose the correlation between each pair of var...
Dmitry M. Malioutov, Jason K. Johnson, Alan S. Wil...
NIPS
2003
14 years 11 months ago
Sample Propagation
Rao–Blackwellization is an approximation technique for probabilistic inference that flexibly combines exact inference with sampling. It is useful in models where conditioning o...
Mark A. Paskin