1172 search results - page 33 / 235 » From Data Distributions to Regularization in Invariant Learn... |
101
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ICPR
2008
IEEE
16 years 2 months ago
2008
IEEE
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
IPPS
2007
IEEE
15 years 7 months ago
2007
IEEE
OpenMP has emerged as an important model and language extension for shared-memory parallel programming. On shared-memory platforms, OpenMP offers an intuitive, incremental approac...
KDD
1998
ACM
15 years 5 months ago
1998
ACM
Verylarge databases with skewedclass distributions and non-unlformcost per error are not uncommonin real-world data mining tasks. Wedevised a multi-classifier meta-learningapproac...
122
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PKDD
2010
Springer
14 years 11 months ago
2010
Springer
A heterogeneous information network is a network composed of multiple types of objects and links. Recently, it has been recognized that strongly-typed heterogeneous information net...
ICML
2004
IEEE
16 years 1 months ago
2004
IEEE
We study the problem of modeling species geographic distributions, a critical problem in conservation biology. We propose the use of maximum-entropy techniques for this problem, s...