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ALT
2010
Springer
15 years 8 months ago
Approximation Stability and Boosting
Stability has been explored to study the performance of learning algorithms in recent years and it has been shown that stability is sufficient for generalization and is sufficient ...
Wei Gao, Zhi-Hua Zhou
ML
2008
ACM
222views Machine Learning» more  ML 2008»
15 years 6 months ago
Boosted Bayesian network classifiers
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
ALT
2008
Springer
16 years 3 months ago
Prequential Randomness
This paper studies Dawid’s prequential framework from the point of view of the algorithmic theory of randomness. The main result is that two natural notions of randomness coincid...
Vladimir Vovk, Alexander Shen
BLISS
2008
IEEE
16 years 1 months ago
HLAC Approach to Automatic Object Counting
Counting (identical) objects in images is a simple yet fundamental recognition task that requires exhaustive human effort. Automation of this task would reduce the human load sign...
Takumi Kobayashi, Tadaaki Hosaka, Shu Mimura, Taka...
ECML
2007
Springer
16 years 28 days ago
Discovering Word Meanings Based on Frequent Termsets
Word meaning ambiguity has always been an important problem in information retrieval and extraction, as well as, text mining (documents clustering and classification). Knowledge di...
Henryk Rybinski, Marzena Kryszkiewicz, Grzegorz Pr...