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WSDM
2012
ACM
207views Data Mining» more  WSDM 2012»
12 years 4 months ago
Domain bias in web search
This paper uncovers a new phenomenon in web search that we call domain bias — a user’s propensity to believe that a page is more relevant just because it comes from a particul...
Samuel Ieong, Nina Mishra, Eldar Sadikov, Li Zhang
TVLSI
2008
126views more  TVLSI 2008»
13 years 8 months ago
Body Bias Voltage Computations for Process and Temperature Compensation
With continued scaling into the sub-90nm regime, the role of process, voltage and temperature (PVT) variations on the performance of VLSI circuits has become extremely important. T...
Sanjay V. Kumar, Chris H. Kim, Sachin S. Sapatneka...
BMCBI
2011
13 years 3 months ago
Tree Pruner: An efficient tool for selecting data from a biased genetic database
Background: Large databases of genetic data are often biased in their representation. Thus, selection of genetic data with desired properties, such as evolutionary representation ...
Mohan Krishnamoorthy, Pragneshkumar Patel, Mira Di...
JMLR
2010
118views more  JMLR 2010»
13 years 3 months ago
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
Model selection strategies for machine learning algorithms typically involve the numerical optimisation of an appropriate model selection criterion, often based on an estimator of...
Gavin C. Cawley, Nicola L. C. Talbot
ICPR
2000
IEEE
14 years 9 months ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes