J. C. Chueh

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1ranked-venue papers

0as first author

0since 2021 · last 1967

—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1

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.

Artificial intelligence

1 paper

Learning theory · 50% Image recognition and object detection · 38% Probabilistic and Bayesian machine learning · 12%

Topics — the 4 heaviest of 4, each with the papers that count most for it

Topic	Papers	Last	Evidence papers
Computer vision › Image recognition and object detection character recognition	1	1967	Error Probability in Decision Functions for Character Recognition · J. ACM 1967
Machine learning › Learning theory › generalization bounds error probability bounds	1	1967	Error Probability in Decision Functions for Character Recognition · J. ACM 1967
Machine learning › Learning theory › statistical pattern recognition bayes optimal classifier	1	1967	Error Probability in Decision Functions for Character Recognition · J. ACM 1967
Machine learning › Probabilistic and Bayesian machine learning statistical decision theory	1	1967	Error Probability in Decision Functions for Character Recognition · J. ACM 1967

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

feature selection · 0.0bayes decision functions · 0.0

Year	Publication	Venue	Position
1967	Error Probability in Decision Functions for Character Recognition abstract Upper bounds for the error probability of a Bayes decision function are derived in terms of the differences among the probability distributions of the features used in character recognition. Applications to feature selection and error reduction are discussed. It is shown that if a sufficient number of well-selected features is used, the error probability can be made arbitrarily small. John T. Chu, J. C. Chueh	J. ACM	2