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» Prediction on Spike Data Using Kernel Algorithms
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CSDA
2008
128views more  CSDA 2008»
13 years 9 months ago
Classification tree analysis using TARGET
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
J. Brian Gray, Guangzhe Fan
JSAC
2006
199views more  JSAC 2006»
13 years 9 months ago
IDES: An Internet Distance Estimation Service for Large Networks
The responsiveness of networked applications is limited by communications delays, making network distance an important parameter in optimizing the choice of communications peers. S...
Yun Mao, Lawrence K. Saul, Jonathan M. Smith
MLDM
2005
Springer
14 years 2 months ago
Using Clustering to Learn Distance Functions for Supervised Similarity Assessment
Assessing the similarity between objects is a prerequisite for many data mining techniques. This paper introduces a novel approach to learn distance functions that maximizes the c...
Christoph F. Eick, Alain Rouhana, Abraham Bagherje...
BMCBI
2008
109views more  BMCBI 2008»
13 years 9 months ago
ConStruct: Improved construction of RNA consensus structures
Background: Aligning homologous non-coding RNAs (ncRNAs) correctly in terms of sequence and structure is an unresolved problem, due to both mathematical complexity and imperfect s...
Andreas Wilm, Kornelia Linnenbrink, Gerhard Steger
ICML
2008
IEEE
14 years 10 months ago
Stopping conditions for exact computation of leave-one-out error in support vector machines
We propose a new stopping condition for a Support Vector Machine (SVM) solver which precisely reflects the objective of the Leave-OneOut error computation. The stopping condition ...
Klaus-Robert Müller, Pavel Laskov, Vojtech Fr...