276 search results - page 36 / 56 » PAC-Learning of Markov Models with Hidden State |
CORR
2011
Springer
13 years 3 months ago
2011
Springer
We propose a factor-graph-based approach to joint channel-estimationand-decoding of bit-interleaved coded orthogonal frequency division multiplexing (BICM-OFDM). In contrast to ex...
ICIP
2001
IEEE
14 years 10 months ago
2001
IEEE
An automatic algorithm for indexing dialogue scenes in multimedia content is proposed. The content is segmented into dialogue scenes using the state transitions of a hidden Markov...
JCSS
2007
13 years 8 months ago
2007
Hidden Markov models (HMMs) are often used for biological sequence annotation. Each sequence feature is represented by a collection of states with the same label. In annotating a ...
HSNMC
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. Performance of real-time applications on network communication channels are strongly related to losses and temporal delays. Several studies showed that these network feat...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...