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» Adaptive Kernel Methods Using the Balancing Principle
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BMCBI
2006
85views more  BMCBI 2006»
13 years 7 months ago
Use of physiological constraints to identify quantitative design principles for gene expression in yeast adaptation to heat shoc
Background: Understanding the relationship between gene expression changes, enzyme activity shifts, and the corresponding physiological adaptive response of organisms to environme...
Ester Vilaprinyó, Rui Alves, Albert Sorriba...
ESANN
2007
13 years 9 months ago
A novel kernel-based method for local pattern extraction in random process signals
In many applications, one is interested to detect certain patterns in random process signals. We consider a class of random process signals which contain sub similarities at rando...
Majid Beigi, Andreas Zell
CHI
2005
ACM
14 years 8 months ago
Privacy and proportionality: adapting legal evaluation techniques to inform design in ubiquitous computing
We argue that an analytic proportionality assessment balancing usefulness and burden on individual or group privacy must be conducted throughout the design process to create accep...
Giovanni Iachello, Gregory D. Abowd
PR
2010
156views more  PR 2010»
13 years 5 months ago
Semi-supervised clustering with metric learning: An adaptive kernel method
Most existing representative works in semi-supervised clustering do not sufficiently solve the violation problem of pairwise constraints. On the other hand, traditional kernel met...
Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zh...
EOR
2007
165views more  EOR 2007»
13 years 7 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang