24 search results - page 2 / 5 » Dynamic updating of distributed neural representations using... |
NIPS
2004
13 years 8 months ago
2004
As animals interact with their environments, they must constantly update estimates about their states. Bayesian models combine prior probabilities, a dynamical model and sensory e...
WWW
2001
ACM
14 years 8 months ago
2001
ACM
The simplicity of the basic client/server model of Web services led quickly to its widespread adoption, but also to scalability and performance problems. The technological respons...
ATAL
2007
Springer
13 years 11 months ago
2007
Springer
This paper extends the framework of dynamic influence diagrams (DIDs) to the multi-agent setting. DIDs are computational representations of the Partially Observable Markov Decisio...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
This paper concentrates on speech duration distributions that are usually invariant to noises and proposes a noise-robust and real-time voice activity detector (VAD) using the hid...
NN
1997
Springer
13 years 11 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...