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Y. J. Cai

dblp:14/1535 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1993
—ORCID · none

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

Databases, data management, data science and information retrieval · 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.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%
Artificial intelligence
1 paper
Deep learning architectures and training · 100%

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

TopicWeightPapersLastEvidence papers
Information retrieval › retrieval models
neural retrieval		 0.011993
Computation of Term Associations by a Neural Network · SIGIR 1993
Information retrieval
retrieval models		 0.011993
Computation of Term Associations by a Neural Network · SIGIR 1993
Information retrieval › text analysis
term co-occurrence		 0.011993
Computation of Term Associations by a Neural Network · SIGIR 1993
Machine learning › Deep learning architectures and training
feedforward neural network		 0.011993
Computation of Term Associations by a Neural Network · SIGIR 1993

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

perceptron learning · 0.0feedforward neural network · 0.0feed-forward neural network · 0.0
YearPublicationVenuePosition
1993 Computation of Term Associations by a Neural Network
abstract
This paper suggests a method for computing term associations based on an adaptive bilinear retrieval model.Such a model can be implemented by using a three-layer feedforward neural network.Term associations are modeled by weighted links connecting different neurons, and are derived by the perception learning algorithm without the need for introducing any ad hoc parameters.The preliminary results indicate the usefulness of neural networks in the design of adaptive information retrieval systems.
S. K. Michael Wong, Y. J. Cai, Yiyu Yao
 SIGIR2