477 search results - page 65 / 96 » Missing Data Estimation Using Polynomial Kernels |
164
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ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
160
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SIBGRAPI
2008
IEEE
15 years 11 months ago
2008
IEEE
2D electrophoresis is a well known method for protein separation which is extremely useful in the field of proteomics. Each spot in the image represents a protein accumulation an...
149
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WCE
2007
15 years 6 months ago
2007
— Imputation of missing data is important in many areas, such as reducing non-response bias in surveys and maintaining medical documentation. Estimating the uncertainty inherent ...
163
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CODES
2007
IEEE
15 years 11 months ago
2007
IEEE
Caches are notorious for their unpredictability. It is difficult or even impossible to predict if a memory access results in a definite cache hit or miss. This unpredictability i...
233
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VLSISP
2011
14 years 12 months ago
2011
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...