923 search results - page 71 / 185 » Spam Deobfuscation using a Hidden Markov Model |
152
click to vote
ATAL
2006
Springer
15 years 8 months ago
2006
Springer
We present a method for learning a human understandable, executable model of an agent's behavior using observations of its interaction with the environment. By executable we ...
131
click to vote
CVPR
2007
IEEE
16 years 6 months ago
2007
IEEE
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
160
click to vote
ICMCS
2005
IEEE
15 years 10 months ago
2005
IEEE
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
132
click to vote
ICASSP
2010
IEEE
15 years 4 months ago
2010
IEEE
For decades, Hidden Markov Models (HMMs) have been the state-of-the-art technique for acoustic modeling despite their unrealistic independence assumptions and the very limited rep...
147
click to vote
ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...