1412 search results - page 69 / 283 » Selectivity Estimation using Probabilistic Models |
138
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ML
2002
ACM
14 years 11 months ago
2002
ACM
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
DAC
1998
ACM
16 years 24 days ago
1998
ACM
In this paper we present a statistical method for estimating the maximum power consumption in VLSI circuits. The method is based on the theory of extreme order statistics applied ...
EMNLP
2009
14 years 9 months ago
2009
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
128
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BIBM
2010
IEEE
14 years 10 months ago
2010
IEEE
Recently, the concept of a species containing both core and distributed genes, known as the supra- or pangenome theory, has been introduced. In this paper, we aim to develop a new ...
106
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MVA
2008
14 years 11 months ago
2008
Vision based tracking systems for surveillance and motion capture rely on a set of cameras to sense the environment. The exact placement or configuration of these cameras can have...