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János Aczél

dblp:50/1508 · DBLP profile ↗
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5ranked-venue papers
5as first author
0since 2021 · last 1997
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 3 · 3 first-authorDatabases, data management, data science and information retrieval · 2 · 2 first-authorArtificial intelligence and machine learning · 1 · 1 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
2 papers
Information theory · 78% Coding theory · 22%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information theory › information measures
entropy
0.011978
A Mixed Theory of Information. III. Inset Entropies of Degree Beta · Inf. Control. 1978
Information theory › information measures › entropy › entropy functions
entropy characterization
0.011978
Some Recent Results on characterizations of Measures of Information Related to Coding · IEEE Trans. Inf. Theory 1978
Information theory
information measures
0.011978
Some Recent Results on characterizations of Measures of Information Related to Coding · IEEE Trans. Inf. Theory 1978
Coding theory › source coding › lossless compression
source coding theorem
0.011978
Some Recent Results on characterizations of Measures of Information Related to Coding · IEEE Trans. Inf. Theory 1978
Information theory › information measures
divergence measures
0.011978
Some Recent Results on characterizations of Measures of Information Related to Coding · IEEE Trans. Inf. Theory 1978
Information theory › information measures › divergence measures
f-divergence
0.011978
Some Recent Results on characterizations of Measures of Information Related to Coding · IEEE Trans. Inf. Theory 1978

Methods — techniques the papers use, named apart from their topics

information theory · 0.0huffman coding · 0.0axiomatic characterization · 0.0
YearPublicationVenuePosition
1997 A New Formula for Speedup and its Characterization
János Aczél, Wolfgang Ertel
Acta Informatica1
1986 Characterizing information measures: Approaching the end of an era
János Aczél
IPMU1
1984 Measuring information beyond communication theory : Some probably useful and some almost certainly useless generalizations
János Aczél
Inf. Process. Manag.1
1978 A Mixed Theory of Information. III. Inset Entropies of Degree Beta
János Aczél, Palaniappan Kannappan
Inf. Control.1
1978 Some Recent Results on characterizations of Measures of Information Related to Coding
abstract
Essential properties of entropies and other measures of information are arrived at on the basis of the noiseless coding theorems, source entropies, and Huffman codes (and also on the basis of forecasting and experiments). Conversely, characterization theorems are given based on these properties. Some of the most important are Shannon's inequality, boundedness on an interval, subadditivity, additivity, branching, and expansibility. Also entropies of mixed probabilistic and nonprobabilistic character and convexf-divergences are mentioned, among others. Some unsolved problems are stated.
János Aczél
IEEE Trans. Inf. Theory1