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» Predictive Representations of State
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IJON
2010
159views more  IJON 2010»
14 years 11 months ago
Model predictive flight control using adaptive support vector regression
This paper explores an application of support vector regression (SVR) to model predictive control (MPC). SVR is employed to identify a dynamic system from input-output data, and t...
Jongho Shin, H. Jin Kim, Sewook Park, Youdan Kim
ICASSP
2011
IEEE
14 years 7 months ago
Grassmannian predictive coding for limited feedback multiuser MIMO systems
Grassmannian beamforming is an efficient way to quantize channel state information in multiple-input multiple-output wireless systems. Unfortunately, multiuser systems require la...
Takao Inoue, Robert W. Heath Jr.
ISCI
2000
100views more  ISCI 2000»
15 years 3 months ago
A neurobiological interpretation of semiotics: meaning, representation, and information
The branch of semiotics called semantics deals with the relation between meanings and representations, widely known as the symbol grounding problem. The other branches of semiotic...
Walter J. Freeman
UAI
2004
15 years 5 months ago
Dynamic Programming for Structured Continuous Markov Decision Problems
We describe an approach for exploiting structure in Markov Decision Processes with continuous state variables. At each step of the dynamic programming, the state space is dynamica...
Zhengzhu Feng, Richard Dearden, Nicolas Meuleau, R...
IJCAI
2007
15 years 5 months ago
Simple Training of Dependency Parsers via Structured Boosting
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
Qin Iris Wang, Dekang Lin, Dale Schuurmans