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» Process Algebra and Markov Chains
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JAIR
2002
163views more  JAIR 2002»
13 years 7 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
NIPS
2008
13 years 9 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong
WSC
1998
13 years 9 months ago
Exploiting Multiple Regeneration Sequences in Simulation Output Analysis
The regenerative method of simulation output analysis exploits the regenerative structure of a stochastic process to break up a path into independent and identically distributed c...
James M. Calvin, Marvin K. Nakayama
AUTOMATICA
2006
80views more  AUTOMATICA 2006»
13 years 7 months ago
State estimation over packet dropping networks using multiple description coding
For state estimation over a communication network, efficiency and reliability of the network are critical issues. The presence of packet dropping and communication delay can great...
Zhipu Jin, Vijay Gupta, Richard M. Murray
ENTCS
2006
100views more  ENTCS 2006»
13 years 7 months ago
Towards a Logic for Performance and Mobility
Klaim is an experimental language designed for modeling and programming distributed systems composed of mobile components where distribution awareness and dynamic system architect...
Rocco De Nicola, Joost-Pieter Katoen, Diego Latell...