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» Some Results on Effective Randomness
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71
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ICTAI
2008
IEEE
15 years 4 months ago
Using Imputation Techniques to Help Learn Accurate Classifiers
It is difficult to learn good classifiers when training data is missing attribute values. Conventional techniques for dealing with such omissions, such as mean imputation, general...
Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greine...
71
Voted
HICSS
2007
IEEE
103views Biometrics» more  HICSS 2007»
15 years 4 months ago
A Convolution Algorithm for Evaluating Supply Chain Delivery Performance
The effective management of a supply chain requires performance measures that accurately represent the underlying structure of the supply chain. Measures such as delivery performa...
Alfred L. Guiffrida, Robert A. Rzepka, Mohamad Y. ...
89
Voted
SIGGRAPH
1996
ACM
15 years 2 months ago
Consequences of Stratified Sampling in Graphics
Antialiased pixel values are often computed as the mean of N point samples. Using uniformly distributed random samples, the central limit theorem predicts a variance of the mean o...
Don P. Mitchell
78
Voted
ASSETS
2007
ACM
15 years 2 months ago
SADIe: exposing implicit information to improve accessibility
The World Wide Web (Web) is a visually complex, multimedia system that can be inaccessible to people with visual impairments. SADIe addresses this problem by using Semantic Web te...
Darren Lunn
SIGIR
2010
ACM
15 years 1 months ago
The impact of collection size on relevance and diversity
It has been observed that precision increases with collection size. One explanation could be that the redundancy of information increases, making it easier to find multiple docum...
Marijn Koolen, Jaap Kamps