𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Linear prediction, filtering, and smoothing: An information-theoretic approach

✍ Scribed by Paul Kalata; Roland Priemer


Publisher
Elsevier Science
Year
1979
Tongue
English
Weight
742 KB
Volume
17
Category
Article
ISSN
0020-0255

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Filtering, smoothing and prediction for
✍ A.E. Bashirov; H. Etikan; N. Semi πŸ“‚ Article πŸ“… 1997 πŸ› Elsevier Science 🌐 English βš– 653 KB

Using the integral representation for the wide-band noise, optimal filter, smoother and predictor for the wide-band noise driven linear systems are synthesized.

An information-theoretic approach to the
✍ Xiaoqi Zheng; Chun Li; Jun Wang πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 143 KB

## Abstract An information‐theoretical approach, which combines a sequence decomposition technique and a fuzzy clustering algorithm, is proposed for prediction of protein structural class. This approach could bypass the process of selecting and comparing sequence features as done previously. First,

An information theoretic approach for im
✍ Alfonso Montuori; Giovanni Raimondo; Eros Pasero πŸ“‚ Article πŸ“… 2008 πŸ› Elsevier Science 🌐 English βš– 778 KB

We present the results of an information theory-based approach to select an optimal subset of features for the prediction of protein model quality. The optimal subset of features was calculated by means of a backward selection procedure. The performances of a probabilistic classifier modeled by mean

An integrated approach to hydrologic dat
✍ Dennis McLaughlin πŸ“‚ Article πŸ“… 2002 πŸ› Elsevier Science 🌐 English βš– 635 KB

The hydrologic data assimilation problem can be posed in a probabilistic framework that emphasizes the need to account for uncertainty when combining different sources of information. This framework indicates where approximations need to be introduced and provides a way to compare alternative data a

A decision theoretic approach to combini
✍ Yuval Elovici; Bracha Shapira; Paul B. Kantor πŸ“‚ Article πŸ“… 2006 πŸ› John Wiley and Sons 🌐 English βš– 208 KB πŸ‘ 1 views

## Abstract The outputs of several information filtering (IF) systems can be combined to improve filtering performance. In this article the authors propose and explore a framework based on the so‐called information structure (IS) model, which is frequently used in Information Economics, for combini