Maximum entropy (MaxEnt) principle is a method for analyzing the available information in order to determine a unique probability distribution. Generally, this information is given as moment constraints of system. Obtained distribution is called MaxEnt probability density function. In this study, it is...
On the relation between the Maximum Entropy Principle and the Principle of Least Ef fort. L Egghe,and T Lafouge. Mathematical and Computer Modelling . 2006A. Agouzal, T. Lafouge, On the Relation between the Maximum Entropy Principle and the Principle of Least Effort: the continuous case. ...
The two statistical principles of maximum entropy and maximum likelihood are investigated for the three-parameter kappa distribution. These two methods become equivalent in the discrete case with x, β>0 where 0<α=1/(2k+1)≤1, k=0,1,2…or the maximum entropy method.关键...
A framework based on maximization of Tsallis entropy constrained by fractional moments is proposed to model queue length distribution of number of packets ... Karmeshu,S Sharma - 《IEEE Communications Letters》 被引量: 33发表: 2006年 Tsallis maximum entropy principle and the law of large numbers...
where Vmax is maximum velocity in minimum flow area, kf is the thermal conductivity of fluid, ν is the kinematic viscosity of the fluid. In their study, both inline and staggered arrangements were studied and their relative performance was compared for the same thermal and hydraulic conditions....
but it is maximally random. Consequently, the Shannon entropy computed for such a sequence is expected to take the maximum value. Significant drops in entropy values signal some predictability of the price dynamics (considering only historical observations as the information set). When this happens,...
This thesis describes a novel statistical named-entity (i.e. proper name") recognition system known as MENE" (Maximum Entropy Named Entity). Named entity (N.E.) recognition is a form of information extraction in which we seek to classify every word in a document as being a person-name, ...
The next two chapters concern the case of random variables taking values on compact groups. In this case it appears that the situation is different, in that the 12 limit distribution is uniform, but again this is a maximum entropy distribution, so some of the same ideas will apply. In ...
For test signals that are better modeled as broadband random processes, the presence of spikes results in a decrease in entropy. In the case of real RR records, where spikes are often caused by QRS detection errors [24], the presence of spikes also leads to a decrease in entropy (for ...
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