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153
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AAAI
2012
13 years 5 months ago
2012
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
120
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EDBT
2006
ACM
16 years 2 months ago
2006
ACM
Current methods for selectivity estimation fall into two broad categories, synopsis-based and sampling-based. Synopsis-based methods, such as histograms, incur minimal overhead at ...
107
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SIAMSC
2010
15 years 28 days ago
2010
In numerous applications of image processing, e.g. astronomical and medical imaging, data-noise is well-modeled by a Poisson distribution. This motivates the use of the negative-lo...
151
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NECO
2011
14 years 9 months ago
2011
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
119
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ATS
2001
IEEE
15 years 6 months ago
2001
IEEE
Test access is a major problem for core-based systemon-chip (SOC) designs. Since cores in an SOC are not directly accessible via chip inputs and outputs, special access mechanisms...