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» A Spectral Algorithm for Learning Hidden Markov Models
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IJCAI
1993
13 years 9 months ago
Learning Finite Automata Using Local Distinguishing Experiments
One of the open problems listed in Rivest and Schapire, 1989] is whether and how that the copies of L in their algorithm can be combined into one for better performance. This pape...
Wei-Mein Shen
CIA
2006
Springer
13 years 11 months ago
Learning to Negotiate Optimally in Non-stationary Environments
Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...
Vidya Narayanan, Nicholas R. Jennings
NIPS
2000
13 years 9 months ago
Using Free Energies to Represent Q-values in a Multiagent Reinforcement Learning Task
The problem of reinforcement learning in large factored Markov decision processes is explored. The Q-value of a state-action pair is approximated by the free energy of a product o...
Brian Sallans, Geoffrey E. Hinton
CORR
2010
Springer
122views Education» more  CORR 2010»
13 years 2 months ago
Concavity of Mutual Information Rate for Input-Restricted Finite-State Memoryless Channels at High SNR
We consider a finite-state memoryless channel with i.i.d. channel state and the input Markov process supported on a mixing finite-type constraint. We discuss the asymptotic behavio...
Guangyue Han, Brian H. Marcus
VLSISP
2010
119views more  VLSISP 2010»
13 years 2 months ago
Hardware Acceleration of HMMER on FPGAs
We propose a new parallelization scheme for the hmmsearch function of the HMMER software, in order to target FPGA technology. hmmsearch is a very compute intensive software for bio...
Steven Derrien, Patrice Quinton