923 search results - page 72 / 185 » Spam Deobfuscation using a Hidden Markov Model |
155
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ICMCS
2006
IEEE
15 years 10 months ago
2006
IEEE
Pattern mining algorithms are often much easier applied than quantitatively assessed. In this paper we address the pattern evaluation problem by looking at both the capability of ...
160
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ICML
2000
IEEE
16 years 5 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
134
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ICPR
2006
IEEE
16 years 5 months ago
2006
IEEE
Numerous techniques exist which can be used for the task of behavioural analysis and recognition. Common amongst these are Bayesian networks and Hidden Markov Models. Although the...
143
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ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
176
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
We consider Gaussian multiresolution (MR) models in which coarser, hidden variables serve to capture statistical dependencies among the finest scale variables. Tree-structured MR ...