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» A time aggregation approach to Markov decision processes
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KDD
2008
ACM
159views Data Mining» more  KDD 2008»
16 years 6 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
ATAL
2009
Springer
16 years 26 days ago
Improving adjustable autonomy strategies for time-critical domains
As agents begin to perform complex tasks alongside humans as collaborative teammates, it becomes crucial that the resulting humanmultiagent teams adapt to time-critical domains. I...
Nathan Schurr, Janusz Marecki, Milind Tambe
AUTOMATICA
2008
74views more  AUTOMATICA 2008»
15 years 6 months ago
Policy iteration based feedback control
It is well known that stochastic control systems can be viewed as Markov decision processes (MDPs) with continuous state spaces. In this paper, we propose to apply the policy iter...
Kan-Jian Zhang, Yan-Kai Xu, Xi Chen, Xi-Ren Cao
ICMCS
2009
IEEE
149views Multimedia» more  ICMCS 2009»
15 years 4 months ago
A multi-agent framework for a hybrid dialog management system
The importance of dialog management systems has increased in recent years. Dialog systems are created for domain specific applications, so that a high demand for a flexible dialog...
Stefan Schwärzler, Joachim Schenk, Günth...
ICML
2009
IEEE
16 years 7 months ago
Detecting the direction of causal time series
We propose a method that detects the true direction of time series, by fitting an autoregressive moving average model to the data. Whenever the noise is independent of the previou...
Arthur Gretton, Bernhard Schölkopf, Dominik J...