61 search results - page 5 / 13 » A Markov Language Learning Model for Finite Parameter Spaces |
ECML
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Robustly estimating the state-transition probabilities of highorder Markov processes is an essential task in many applications such as natural language modeling or protei...
SIGMETRICS
2002
ACM
14 years 9 months ago
2002
ACM
Probability distributions of response times are important in the design and analysis of transaction processing systems and computercommunication systems. We present a general tech...
KI
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
ALT
2003
Springer
15 years 1 months ago
2003
Springer
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
IROS
2009
IEEE
15 years 4 months ago
2009
IEEE
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...