3726 search results - page 382 / 746 » A structured definition of the modeling process |
198
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NIPS
1998
15 years 8 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
203
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CORR
2007
Springer
15 years 6 months ago
2007
Springer
In a data warehousing process, the data preparation phase is crucial. Mastering this phase allows substantial gains in terms of time and performance when performing a multidimensio...
179
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BC
2005
15 years 6 months ago
2005
The tangential neurons in the lobula plate region of the flies are known to respond to visual motion across broad receptive fields in visual space. When intracellular recordings ar...
246
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ICTAI
2010
IEEE
15 years 4 months ago
2010
IEEE
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
158
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
This paper presents a new probabilistic framework of Mandarin speech recognition by incorporating a sophisticated hierarchical prosody model into the conventional HMM-based system...