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IJBC
2007
54views more  IJBC 2007»
15 years 4 months ago
Impact Dynamics of Large Dimensional Systems
In this paper we present a model of impact dynamics in large dimensional systems. We describe a hybrid method, based on graph theory and probability theory, which enables us quali...
Martin E. Homer, S. John Hogan
ICIP
2001
IEEE
16 years 6 months ago
EM algorithms of Gaussian mixture model and hidden Markov model
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
Guorong Xuan, Wei Zhang, Peiqi Chai
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
14 years 11 months ago
Aggregation-based model reduction of a Hidden Markov Model
This paper is concerned with developing an information-theoretic framework to aggregate the state space of a Hidden Markov Model (HMM) on discrete state and observation spaces. The...
Kun Deng, Prashant G. Mehta, Sean P. Meyn
IAT
2008
IEEE
15 years 11 months ago
Relating Cognitive Process Models to Behavioural Models of Agents
From an external perspective, cognitive agent behaviour can be described by specifying (temporal) correlations of a certain complexity between stimuli (input states) and (re)actio...
Alexei Sharpanskykh, Jan Treur
STOC
2009
ACM
106views Algorithms» more  STOC 2009»
16 years 5 months ago
On proximity oblivious testing
We initiate a systematic study of a special type of property testers. These testers consist of repeating a basic test for a number of times that depends on the proximity parameter...
Oded Goldreich, Dana Ron