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» Modeling word burstiness using the Dirichlet distribution
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76
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LCN
2002
IEEE
15 years 4 months ago
On Modeling the Packet Error Statistics in Bursty Channels
Wireless channels usually face bursty errors, i.e., errors are prone to occur in clusters. These bit errors can be modeled using the Gilbert-Elliott model. When data packets are t...
Changli Jiao, Loren Schwiebert, Bin Xu
ICASSP
2009
IEEE
14 years 9 months ago
Blind sparse source separation for unknown number of sources using Gaussian mixture model fitting with Dirichlet prior
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...
Shoko Araki, Tomohiro Nakatani, Hiroshi Sawada, Sh...
KDD
2007
ACM
237views Data Mining» more  KDD 2007»
16 years 1 days ago
Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior
Documents, such as those seen on Wikipedia and Folksonomy, have tended to be assigned with multiple topics as a meta-data. Therefore, it is more and more important to analyze a re...
Issei Sato, Hiroshi Nakagawa
CORR
2012
Springer
167views Education» more  CORR 2012»
13 years 7 months ago
Multidimensional counting grids: Inferring word order from disordered bags of words
Models of bags of words typically assume topic mixing so that the words in a single bag come from a limited number of topics. We show here that many sets of bag of words exhibit a...
Nebojsa Jojic, Alessandro Perina
104
Voted
ISIPTA
2005
IEEE
161views Mathematics» more  ISIPTA 2005»
15 years 5 months ago
Decision making under incomplete data using the imprecise Dirichlet model
The paper presents an efficient solution to decision problems where direct partial information on the distribution of the states of nature is available, either by observations of ...
Lev V. Utkin, Thomas Augustin