Demo Data from VLDB 2026 / reviewers in the wild / expert
Donald M. MacKay
dblp:84/4394
· DBLP profile ↗
6ranked-venue papers
6as first author
0since 2021 · last 1958
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 6 · 6 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
3 papers |
Information theory · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory › channel capacity › capacity analysis
information capacity |
0.0 | 1 | 1958 | The Structural Information-Capacity of Optical Instruments · Inf. Control. 1958 |
Information theory
information measures |
0.0 | 1 | 1953 | Quantal aspects of scientific information · Trans. IRE Prof. Group Inf. Theory 1953 |
Methods — techniques the papers use, named apart from their topics
logical analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1958 | The Structural Information-Capacity of Optical Instruments
Donald M. MacKay |
Inf. Control. | 1 |
| 1953 | The nomenclature of information theoryabstractThis chapter contains sections titled: What Information Theory is About, Explanatory Glossary, Postscript on Structural Information-Content and Optical Resolution Donald M. MacKay |
Trans. IRE Prof. Group Inf. Theory | 1 |
| 1953 | Quantal aspects of scientific informationabstractThis paper is an attempt to clarify some aspects of the approach to experimentation suggested by the author in a recent publication in the Philosophical Magazine, (hereafter referred to as P.M.). The concept of "amount of information" is shown to have three distinct senses in current literature. Two of these are definable as numerical features of the logical pattern of propositional relations which we make to represent a result. The third measures the relative unexpectedness of the pattern, which may or may not be connected with its numerical features. Since logical patterns can be built up from discrete quantal elements, the information enabling them to be built is quantised by our use of 'yes-or-no' logical forms as scientific statements. The number of discrete 'elementary propositions' in a given description cannot be altered by any complete reformulation. This is seen to be the basis of our ability to 'barter' certain quantities for one another - e.g. accuracy for speed of response in a galvanometer or a communication-channel. The term "selective information" is suggested to distinguish the third sense of 'information' (called amount of detail in P.M.) from the first two, whioh measure respectively the number of independent features (structural information) and the weight of evidence or precision (metrical information) in a result. 'Selective information' is the measure of information currently used by communication engineers, and a distinguishing title appears to be essential. From the standpoint here adopted the various uncertainty-relations of physics illustrate a general axiom expressing the quantal nature of the logical descriptions which we make. Some other practical and theoretical implications of the theory are examined. Donald M. MacKay |
Trans. IRE Prof. Group Inf. Theory | 1 |
| 1953 | Entropy, time and information (Introduction to discussion)
Donald M. MacKay |
Trans. IRE Prof. Group Inf. Theory | 1 |
| 1953 | Discussion on Dr. Mackay's paper on 'Quantum Aspects of Scientific Information'
Donald M. MacKay |
Trans. IRE Prof. Group Inf. Theory | 1 |
| 1953 | Discussion on Mr. Mackay's paper 'Entropy, Time and Information'
Donald M. MacKay |
Trans. IRE Prof. Group Inf. Theory | 1 |