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ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
When the transition probabilities and rewards of a Markov Decision Process are specified exactly, the problem can be solved without any interaction with the environment. When no s...
ICDAR
2009
IEEE
15 years 4 months ago
2009
IEEE
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
ISCAS
2007
IEEE
15 years 4 months ago
2007
IEEE
— I/Q imbalance has been identified as one of the most serious concerns in the practical implementation of the direct conversion receiver architecture. Facing the performance-de...
MICAI
2007
Springer
15 years 4 months ago
2007
Springer
Previous work on context-specific independence in Bayesian networks is driven by a common goal, namely to represent the conditional probability tables in a most compact way. In th...
ISIPTA
2003
IEEE
15 years 3 months ago
2003
IEEE
Set-valued estimation offers a way to account for imprecise knowledge of the prior distribution of a Bayesian statistical inference problem. The set-valued Kalman filter, which p...