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» Bias Variance Analysis for Relational Domains
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ILP
2007
Springer
13 years 10 months ago
Bias/Variance Analysis for Relational Domains
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
IJCNN
2000
IEEE
13 years 9 months ago
Bias Learning, Knowledge Sharing
—Biasing properly the hypothesis space of a learner has been shown to improve generalization performance. Methods for achieving this goal have been proposed, that range from desi...
Joumana Ghosn, Yoshua Bengio
PAKDD
2010
ACM
169views Data Mining» more  PAKDD 2010»
13 years 6 months ago
Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets
Domain experts are frequently interested to analyze multiple related spatial datasets. This capability is important for change analysis and contrast mining. In this paper, a novel ...
Vadeerat Rinsurongkawong, Christoph F. Eick
BMCBI
2006
119views more  BMCBI 2006»
13 years 4 months ago
Utilization of two sample t-test statistics from redundant probe sets to evaluate different probe set algorithms in GeneChip stu
Background: The choice of probe set algorithms for expression summary in a GeneChip study has a great impact on subsequent gene expression data analysis. Spiked-in cRNAs with know...
Zihua Hu, Gail R. Willsky
CAIP
2007
Springer
128views Image Analysis» more  CAIP 2007»
13 years 8 months ago
Image Sifting for Micro Array Image Enhancement
: cDNA micro arrays are more and more frequently used in molecular biology as they can give insight into the relation of an organism's metabolism and its genome. The process o...
Pooria Jafari Moghadam, Mohammad Hassan Moradi