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DAGSTUHL
2006
13 years 9 months ago
Complexity Monotone in Conditions and Future Prediction Errors
We bound the future loss when predicting any (computably) stochastic sequence online. Solomonoff finitely bounded the total deviation of his universal predictor M from the true dis...
Alexey V. Chernov, Marcus Hutter, Jürgen Schm...
ICAART
2010
INSTICC
14 years 4 months ago
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
Christos Dimitrakakis
EOR
2010
86views more  EOR 2010»
13 years 7 months ago
Optimal asset allocation for aggregated defined benefit pension funds with stochastic interest rates
In this paper we study the optimal management of an aggregated pension fund of defined benefit type, in the presence of a stochastic interest rate. We suppose that the sponsor can ...
Ricardo Josa-Fombellida, Juan Pablo Rincón-...
ACL
1997
13 years 8 months ago
Finite State Transducers Approximating Hidden Markov Models
This paper describes the conversion of a Hidden Markov Model into a sequential transducer that closely approximates the behavior of the stochastic model. This transformation is es...
André Kempe
ICML
2009
IEEE
14 years 8 months ago
Stochastic search using the natural gradient
Daan Wierstra, Jürgen Schmidhuber, Tom Schaul...