3694 search results - page 135 / 739 » Stochastic complexity in learning |
JMLR
2012
12 years 19 days ago
2012
We present the first PAC bounds for learning parameters of Conditional Random Fields [12] with general structures over discrete and real-valued variables. Our bounds apply to com...
SIMVIS
2003
13 years 11 months ago
2003
The paradigm of the proxel ("probability element") was recently introduced in order to provide a new algorithmic approach to analysing discrete-state stochastic models s...
SCP
2000
13 years 10 months ago
2000
Obtaining performance models, like Markov chains and queueing networks, for systems of significant complexity and magnitude is a difficult task that is usually tackled using human...
ICML
2009
IEEE
14 years 11 months ago
2009
IEEE
We propose an analytic moment-based filter for nonlinear stochastic dynamic systems modeled by Gaussian processes. Exact expressions for the expected value and the covariance matr...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
Predicting the "Value at Risk" of a portfolio of stocks is of great significance in quantitative finance. We introduce a new class models, "dynamical products of ex...