13414 search results - page 83 / 2683 » The distributed boosting algorithm |
KDD
2006
ACM
14 years 10 months ago
2006
ACM
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
KDD
2012
ACM
12 years 11 days ago
2012
ACM
Multi-label learning arises in many real-world tasks where an object is naturally associated with multiple concepts. It is well-accepted that, in order to achieve a good performan...
ML
2007
ACM
13 years 9 months ago
2007
ACM
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
CP
2011
Springer
12 years 9 months ago
2011
Springer
Algorithm portfolios aim to increase the robustness of our ability to solve problems efficiently. While recently proposed algorithm selection methods come ever closer to identifyin...
ICML
1999
IEEE
14 years 10 months ago
1999
IEEE
The applicationofboosting procedures to decision tree algorithmshas been shown to produce very accurate classi ers. These classiers are in the form of a majority vote over a numbe...