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ICML
2008
IEEE
14 years 10 months ago
Active kernel learning
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
Steven C. H. Hoi, Rong Jin
MICCAI
2005
Springer
14 years 3 months ago
Knowledge-Based Classification of Neuronal Fibers in Entire Brain
This work presents a framework driven by parcellation of brain gray matter in standard normalized space to classify the neuronal fibers obtained from diffusion tensor imaging (DTI)...
Yan Xia, And U. Turken, Susan L. Whitfield-Gabriel...
EDM
2009
116views Data Mining» more  EDM 2009»
13 years 7 months ago
Determining the Significance of Item Order In Randomized Problem Sets
Researchers who make tutoring systems would like to know which sequences of educational content lead to the most effective learning by their students. The majority of data collecte...
Zachary A. Pardos, Neil T. Heffernan
RECOMB
2002
Springer
14 years 10 months ago
Deconvolving sequence variation in mixed DNA populations
We present an original approach to identifying sequence variants in a mixed DNA population from sequence trace data. The heart of the method is based on parsimony: given a wildtyp...
Andy Wildenberg, Steven Skiena, Pavel Sumazin
ICSE
2009
IEEE-ACM
14 years 10 months ago
A toolset for automated failure analysis
Classic fault localization techniques can automatically provide information about the suspicious code blocks that are likely responsible for observed failures. This information is...
Fabrizio Pastore, Leonardo Mariani, Mauro Pezz&egr...