REFERENCES. 1. C. E. Buck, D. Gómez Portugal Aguilar, C. D. Litton and A. O'Hagan, âBayesian nonparametric estimation of the radiocarbon calibration curveâ ...
The future of the World Wide Web is often associated with the Semantic Web initia- ... tree annotation model and training the model parameters from a training set S ... between elements in the target schema, makes the manual writing of ..... The insi
The future of the World Wide Web is often associated with the Semantic Web initia- .... between elements in the target schema, makes the manual writing of ..... The inside probability is calculated recursively, by taking the maximum over all pos-.
the relationships between different classification formalisms based on ... SVM formalism is, based on the training set, to trace two surfaces that best ..... The work was performed within The CNES/DLR/ENST Competence Centre on Infor-.
Abstract. A method, which we suggest to call the Empirical Maximum Entropy method, is implicitly present at Maximum Entropy Empirical Likelihood method [1], ...
Mar 28, 2005 - implied volatilities which is arbitrage-free and satisfies some smoothness conditions. ... the forex market and, in the one-dimensional case, in the interest rate market. ... We define an arbitrage as a self-financing portfolio of ....
some inverse problems such as image restoration or blind sources separation. Key Words: Uncertainty, Probabilty distribution, Information and Entropy, Maxi-.
Sep 26, 2014 - electrical, fluid flow, communications networks. - transport ... general unified framework for many diverse systems. 2. .... âMinimum flux potentialâ principle: Φ st .... Define probability over uncertainties â joint pdf p(Q,Î,
such as deconvolution and Fourier synthesis problems which arise in mass spectrometry. .... Thus, the first steps of solving the problem are to 129 ...... Reconstructed spectra in FT-NMR data: (a) shows the weighted FFT solution; (b), (c) and (d), ..
is a probability density function (pdf), Î¥X is the random variable for the .... where V âW is the element-wise tensor (Hadamard) product, in which (V ... specified by a constraint ãXãspec in (10)-(12), this can be used in the prior; otherwise
be written as a simple one-dimensional convolution equation: g(Ï) = â« f (t )h(Ï â t) dt,. (1) ..... nately here D(λ) is not a quadratic function of λ and thus there is not ...
In this way we obtain the dual quadratic optimisation problem: max α ( n .... which best suits the observed data. The equation describing this level is given by the.
limited to some sorts of source families such as sub-gaussian and super-gaussian or some forms of source distribution models such as generalized gaussian ...
Relative Entropy Maximization method (REM/MaxEnt) can be used at few contexts, for different .... plog(p/q), and q is the data-based pdf-estimate of r. There are ...
The reader is invited to check that the model remains ..... Waelbroeck, editor, Nonlinear Operators and the Calculus of Variations, Springer-Verlag series Lec-.
class of generalized entropy is introduced by that of generator functions, ... The class of generator functions is defined by .... vector µ and matrix V of size pà p.
Among all the possible solutions choose the one with maximum entropy ..... E. T. Jaynes, âInformation theory and statistical mechanics I,â Physical review, vol. 106 .... of dielectric and conductive materials from experimental data,â accepted i
Feature selection analyses from the perspective of classification performance con- ducts to the discussion of the relationships between SVM, Bayesian and ...
induced by an unavailable random sample from r of size n â is known to belong. ..... settings and methods, which could be of some independent interest.
with a Google earth image of the suburbs it supplies (left). .... WARNING: The ACTEW Water network infrastructure shown on the maps may be inaccurate or ...
Fourier Synthesis in X-ray CT, nuclear magnetic resonance (NMR) imaging or ...... 26, no. 1. ·. , pp. 1 745- 1 754, 1 987. [2] A. Mohammad-Djafari and d .
