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Transduction (machine learning)

Known as: Transductive learning, Transductive inference, Transductive logic 
In logic, statistical inference, and supervised learning,transduction or transductive inference is reasoning fromobserved, specific (training) cases… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Abstractive summarization has been studied using neural sequence transduction methods with datasets of large, paired document… Expand
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Review
2018
Review
2018
Brassinosteroids (BRs) are an important group of plant steroidal hormones that are actively involved in a myriad of key growth… Expand
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Highly Cited
2017
Highly Cited
2017
The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder… Expand
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Highly Cited
2012
Highly Cited
2012
Many machine learning tasks can be expressed as the transformation---or \emph{transduction}---of input sequences into output… Expand
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Highly Cited
2006
Highly Cited
2006
Inositol phospholipids have long been known to have an important regulatory role in cell physiology. The repertoire of cellular… Expand
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Highly Cited
2003
Highly Cited
2003
We consider the general problem of learning from labeled and unlabeled data, which is often called semi-supervised learning or… Expand
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Highly Cited
1999
Highly Cited
1999
Introduction to support vector learning roadmap. Part 1 Theory: three remarks on the support vector method of function estimation… Expand
Highly Cited
1999
Highly Cited
1999
This paper introduces Transductive Support Vector Machines (TSVMs) for text classi cation. While regular Support Vector Machines… Expand
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Highly Cited
1998
Highly Cited
1998
We describe a method for predicting a classification of an object given classifications of the objects in the training set… Expand
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Highly Cited
1998
Highly Cited
1998
We introduce a semi-supervised support vector machine (S3VM) method. Given a training set of labeled data and a working set of… Expand
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