Source separation as an exercise in logical induction
| dc.creator | Knuth, Kevin H. | |
| dc.date | 2002-04-25 | |
| dc.date.accessioned | 2026-07-07T05:47:30Z | |
| dc.date.available | 2026-07-07T05:47:30Z | |
| dc.description | We examine the relationship between the Bayesian and information-theoretic formulations of source separation algorithms. This work makes use of the relationship between the work of Claude E. Shannon and the "Recent Contributions" by Warren Weaver (Shannon & Weaver 1949) as clarified by Richard T. Cox (1979) and expounded upon by Robert L. Fry (1996) as a duality between a logic of assertions and a logic of questions. Working with the logic of assertions requires the use of probability as a measure of degree of implication. This leads to a Bayesian formulation of the problem. Whereas, working with the logic of questions requires the use of entropy as a measure of the bearing of a question on an issue leading to an information-theoretic formulation of the problem. | |
| dc.description | 10 pages. Presented at the MaxEnt 2000 conference in Gif-sur-Yvette Paris | |
| dc.identifier | https://arxiv.org/abs/physics/0204075 | |
| dc.identifier | http://arxiv.org/abs/physics/0204075 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/84675 | |
| dc.subject | Data Analysis, Statistics and Probability | |
| dc.subject | Instrumentation and Detectors | |
| dc.subject | Medical Physics | |
| dc.title | Source separation as an exercise in logical induction | |
| dc.type | text |