A maximum entropy approach to interpolation
β Scribed by S.Tanveer Fathima; B. Yegnanarayana
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 525 KB
- Volume
- 21
- Category
- Article
- ISSN
- 0165-1684
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
From the sole knowledge (at a finite number of points) of the numerical values of the potential V ( r ) corresponding to Schrodinger's radial equation, it is found that recourse to Information Theory (IT) concepts allows one to infer the pertinent wave functions (and eigenvalues) without attempting
An adaptive statistical language model is described, which successfully integrates long distance linguistic information with other knowledge sources. Most existing statistical language models exploit only the immediate history of a text. To extract information from further back in the document's his
It is well known that observational data is generally insufficient to provide a unique ,and stable solution when tackling an inverse problem. The recommended approach in this case is the the use of any regularization technique, in order to assure that parameter variations are bounded to such a degre
To obtain the correlation dimension and entropy from an experimental time series we derive estimators for these quantities together with expressions for their variances using a maximum likelihood approach. The validity of these expressions is supported by Monte Carlo simulations. We illustrate the u