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» Preprocessing of Intractable Problems
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ML
2012
ACM
385views Machine Learning» more  ML 2012»
12 years 5 months ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe
ICML
2000
IEEE
14 years 11 months ago
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
Mark A. Hall
WABI
2005
Springer
117views Bioinformatics» more  WABI 2005»
14 years 3 months ago
Faster Algorithms for Optimal Multiple Sequence Alignment Based on Pairwise Comparisons
Multiple Sequence Alignment (MSA) is one of the most fundamental problems in computational molecular biology. The running time of the best known scheme for finding an optimal ali...
Pankaj K. Agarwal, Yonatan Bilu, Rachel Kolodny
ITC
2002
IEEE
72views Hardware» more  ITC 2002»
14 years 3 months ago
Test Point Insertion that Facilitates ATPG in Reducing Test Time and Data Volume
Efficient production testing is frequently hampered because current digital circuits require test sets which are too large. These test sets can be reduced significantly by means...
M. J. Geuzebroek, J. Th. van der Linden, A. J. van...
WSCG
2004
142views more  WSCG 2004»
13 years 11 months ago
Collision Detection Using Polar Diagrams
In Computer Graphics, Collision Detection is considered a key problem with important applications in related areas. Several solutions have been proposed, but independently of the ...
Lidia M. Ortega, Francisco R. Feito, Clara I. Grim...