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» An fMRI Activation Method Using Complex Data
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HAIS
2009
Springer
15 years 7 months ago
Beyond Homemade Artificial Data Sets
One of the most important challenges in supervised learning is how to evaluate the quality of the models evolved by different machine learning techniques. Up to now, we have relied...
Núria Macià, Albert Orriols-Puig, Es...
DPD
2002
125views more  DPD 2002»
15 years 2 months ago
Parallel Mining of Outliers in Large Database
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
Edward Hung, David Wai-Lok Cheung
BMCBI
2010
179views more  BMCBI 2010»
14 years 10 months ago
Circadian signatures in rat liver: from gene expression to pathways
Background: Circadian rhythms are 24 hour oscillations in many behavioural, physiological, cellular and molecular processes that are controlled by an endogenous clock which is ent...
Meric A. Ovacik, Siddharth Sukumaran, Richard R. A...
ICML
2006
IEEE
16 years 4 months ago
How boosting the margin can also boost classifier complexity
Boosting methods are known not to usually overfit training data even as the size of the generated classifiers becomes large. Schapire et al. attempted to explain this phenomenon i...
Lev Reyzin, Robert E. Schapire
ISWC
2003
IEEE
15 years 8 months ago
Layered Annotations of Digital Images for Data Collection in the Field
This paper presents the development and initial user trial of a wearable computer for collecting and annotating images for field-working applications. The application is based upo...
James Cross, Chris Baber, Sandra I. Woolley