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» On Weak Markov's Principle
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JMLR
2010
191views more  JMLR 2010»
13 years 2 months ago
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
We present a new estimation principle for parameterized statistical models. The idea is to perform nonlinear logistic regression to discriminate between the observed data and some...
Michael Gutmann, Aapo Hyvärinen
RAS
2010
104views more  RAS 2010»
13 years 6 months ago
A hybrid controller based on the egocentric perceptual principle
In this paper we extend the control methodology based on Extended Markov Tracking (EMT) by providing the control algorithm with capabilities to calibrate and even partially recons...
Zinovi Rabinovich, Nicholas R. Jennings
CORR
2006
Springer
122views Education» more  CORR 2006»
13 years 7 months ago
Derivatives of Entropy Rate in Special Families of Hidden Markov Chains
Consider a hidden Markov chain obtained as the observation process of an ordinary Markov chain corrupted by noise. Zuk, et. al. [13, 14] showed how, in principle, one can explicit...
Guangyue Han, Brian Marcus
SIAMCO
2002
86views more  SIAMCO 2002»
13 years 7 months ago
On the Observability and Detectability of Continuous-Time Markov Jump Linear Systems
The paper introduces a new detectability concept for continuous-time Markov jump linear systems with finite Markov space that generalizes previous concepts found in the literature....
Eduardo F. Costa, João Bosco Ribeiro do Val
ANLP
2000
139views more  ANLP 2000»
13 years 9 months ago
A Hybrid Approach for Named Entity and Sub-Type Tagging
This paper presents a hybrid approach for named entity (NE) tagging which combines Maximum Entropy Model (MaxEnt), Hidden Markov Model (HMM) and handcrafted grammatical rules. Eac...
Rohini K. Srihari