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» Choosing a Reliable Hypothesis
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BIBM
2009
IEEE
155views Bioinformatics» more  BIBM 2009»
15 years 11 months ago
Towards Reliable Isoform Quantification Using RNA-Seq Data
Background: In eukaryotes, alternative splicing often generates multiple splice variants from a single gene. Here weexplore the use of RNA sequencing (RNA-Seq) datasets to address...
Brian E. Howard, Steffen Heber
COLT
1999
Springer
15 years 8 months ago
Boosting as Entropy Projection
We consider the AdaBoost procedure for boosting weak learners. In AdaBoost, a key step is choosing a new distribution on the training examples based on the old distribution and th...
Jyrki Kivinen, Manfred K. Warmuth
NIPS
2003
15 years 5 months ago
Learning the k in k-means
When clustering a dataset, the right number k of clusters to use is often not obvious, and choosing k automatically is a hard algorithmic problem. In this paper we present an impr...
Greg Hamerly, Charles Elkan
ATAL
2005
Springer
15 years 10 months ago
Trusted kernel-based coalition formation
We define Trusted Kernel-based Coalition Formation as a novel extension to the traditional kernel-based coalition formation process which ensures agents choose the most reliable ...
Bastian Blankenburg, Rajdeep K. Dash, Sarvapali D....
GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
15 years 10 months ago
The MaxSolve algorithm for coevolution
Coevolution can be used to adaptively choose the tests used for evaluating candidate solutions. A long-standing question is how this dynamic setup may be organized to yield reliab...
Edwin D. de Jong