34 search results - page 5 / 7 » Convergence in Markovian models with implications for effici... |
TSP
2008
13 years 7 months ago
2008
Graphical models provide a powerful formalism for statistical signal processing. Due to their sophisticated modeling capabilities, they have found applications in a variety of fie...
AIEDU
2005
13 years 7 months ago
2005
The Bayesian framework offers a number of techniques for inferring an individual's knowledge state from evidence of mastery of concepts or skills. A typical application where ...
PODS
2002
ACM
14 years 7 months ago
2002
ACM
In multidimensional data models intended for online analytic processing (OLAP), data are viewed as points in a multidimensional space. Each dimension has structure, described by a...
UAI
2008
13 years 9 months ago
2008
When the initial and transition probabilities of a finite Markov chain in discrete time are not well known, we should perform a sensitivity analysis. This is done by considering a...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
In probabilistic grammatical inference, a usual goal is to infer a good approximation of an unknown distribution P called a stochastic language. The estimate of P stands in some cl...