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» A finiteness theorem for Markov bases of hierarchical models
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JCT
2007
83views more  JCT 2007»
13 years 4 months ago
A finiteness theorem for Markov bases of hierarchical models
We show that the complexity of the Markov bases of multidimensional tables stabilizes eventually if a single table dimension is allowed to vary. In particular, if this table dimen...
Serkan Hosten, Seth Sullivant
IJBC
2010
116views more  IJBC 2010»
13 years 2 months ago
Recurrence Plots for Symbolic Sequences
This paper introduces an extension of recurrence analysis to symbolic sequences. Heuristic arguments based on Shannon-McMillan-Breiman theorem suggest several relations between th...
Philippe Faure, Annick Lesne
ICC
2007
IEEE
135views Communications» more  ICC 2007»
13 years 11 months ago
New Results on Single-Step Power Control System in Finite State Markov Channel: Power Control Error Modelling and Queueing Varia
— The analysis regarding the impact of the single-step power control (SSPC) scheme on the system performance such as bit error rate, packet error rate and queueing variation is h...
Shi-Yong Lee, Min-Kuan Chang
NIPS
2001
13 years 6 months ago
The Infinite Hidden Markov Model
We show that it is possible to extend hidden Markov models to have a countably infinite number of hidden states. By using the theory of Dirichlet processes we can implicitly integ...
Matthew J. Beal, Zoubin Ghahramani, Carl Edward Ra...
IJCAI
2003
13 years 6 months ago
Imitation Learning of Team-play in Multiagent System based on Hidden Markov Modeling
This paper addresses agents' intentions as building blocks of imitation learning that abstract local situations of the agent, and proposes a hierarchical hidden Markov model ...
Itsuki Noda