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» Choosing a Reliable Hypothesis
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BIBM
2009
IEEE
155views Bioinformatics» more  BIBM 2009»
14 years 4 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
14 years 2 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
13 years 11 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
14 years 3 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»
14 years 3 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