1627 search results - page 36 / 326 » Multi-Instance Mixture Models |
WWW
2007
ACM
14 years 8 months ago
2007
ACM
In this paper, we define the problem of topic-sentiment analysis on Weblogs and propose a novel probabilistic model to capture the mixture of topics and sentiments simultaneously....
MVA
2002
13 years 7 months ago
2002
2 Related Works Gaussian mixtures are often used for data modeling in many real-time applications such as video background modeling and speaker direction tracking. The real-time a...
AAAI
2006
13 years 9 months ago
2006
The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
BMEI
2009
IEEE
13 years 9 months ago
2009
IEEE
The Gaussian mixture model is a powerful statistical tool in data modeling and analysis. Generally, the EM algorithm is utilized to learn the parameters of the Gaussian mixture. Ho...
KDD
2007
ACM
14 years 2 months ago
2007
ACM
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...