869 search results - page 42 / 174 » Max-Margin Markov Networks |
AAMAS
2007
Springer
14 years 4 months ago
2007
Springer
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
IDEAL
2004
Springer
14 years 3 months ago
2004
Springer
We study a stock trading method based on dynamic bayesian networks to model the dynamics of the trend of stock prices. We design a three level hierarchical hidden Markov model (HHM...
HYBRID
2004
Springer
14 years 3 months ago
2004
Springer
We propose a model for Stochastic Hybrid Systems (SHSs) where transitions between discrete modes are triggered by stochastic events much like transitions between states of a contin...
JMLR
2010
13 years 4 months ago
2010
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...
SIGCOMM
1998
ACM
14 years 2 months ago
1998
ACM
Recently, a parametric State Reward Markov Model SRMM p has been developed for the reliability and availability analysis of self-healing SONET mesh networks 2 . In this paper, w...