231 search results - page 12 / 47 » Active Learning in Partially Observable Markov Decision Proc... |
ICASSP
2011
IEEE
13 years 10 days ago
2011
IEEE
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
AAAI
2004
13 years 10 months ago
2004
We develop an exact dynamic programming algorithm for partially observable stochastic games (POSGs). The algorithm is a synthesis of dynamic programming for partially observable M...
ICC
2007
IEEE
14 years 2 months ago
2007
IEEE
— We consider opportunistic spectrum access (OSA) which allows secondary users to identify and exploit instantaneous spectrum opportunities resulting from the bursty traffic of ...
IJCAI
2007
13 years 10 months ago
2007
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...