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JAIR
2006
122views more  JAIR 2006»
15 years 4 months ago
Solving Factored MDPs with Hybrid State and Action Variables
Efficient representations and solutions for large decision problems with continuous and discrete variables are among the most important challenges faced by the designers of automa...
Branislav Kveton, Milos Hauskrecht, Carlos Guestri...
NECO
2002
104views more  NECO 2002»
15 years 4 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen
ICASSP
2011
IEEE
14 years 8 months ago
Sum-rate maximization of two-way amplify-and-forward relay networks with imperfect channel state information
Considering a two-way amplify-and-forward (AF) relay network and aiming to simultaneously maximize the two users’ mutual information lower bounds in the presence of channel esti...
Yupeng Jia, Azadeh Vosoughi
ICASSP
2011
IEEE
14 years 8 months ago
Optimal wireless networks based on local channel state information
We consider distributed algorithms to optimize random access multihop wireless networks in the presence of fading. Since the associated optimization problem is neither convex nor ...
Yichuan Hu, Alejandro Ribeiro
ICASSP
2011
IEEE
14 years 8 months ago
Joint modeling of observed inter-arrival times and waveform data with multiple hidden states for neural spike-sorting
We present a novel, maximum likelihood framework for automatic spike-sorting based on a joint statistical model of action potential waveform shape and inter-spike interval duratio...
Brett Matthews, Mark Clements