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Journal of Machine Learning Research, ISSN 1532-4435, 09/2011, Volume 12, pp. 2649 - 2680
Co-training (or more generally, co-regularization) has been a popular algorithm for semi-supervised learning in data with two feature representations (or... 
Active sensing | Co-training | Undirected graphical models | Semi-supervised learning | Multi-view learning | Gaussian processes | undirected graphical models | multi-view learning | co-training | semi-supervised learning | active sensing | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), ISSN 2329-9290, 12/2014, Volume 22, Issue 12, pp. 1849 - 1858
Journal Article
Information Sciences, ISSN 0020-0255, 03/2019, Volume 477, pp. 15 - 29
The purpose of document classification is to assign the most appropriate label to a specified document. The main challenges in document classification are... 
LDA | Co-training | Semi-supervised learning | TF–IDF | Document classification | Doc2vec | TF-IDF | FREQUENCY | COMPUTER SCIENCE, INFORMATION SYSTEMS | TEXT
Journal Article
Neurocomputing, ISSN 0925-2312, 06/2012, Volume 86, pp. 75 - 85
Co-training is a well-known semi-supervised learning technique that applies two basic learners to train the data source, which uses the most confident... 
Co-training | Semi-supervised learning | Class probability estimation | Machine learning | Classification | Diversity | IMAGE RETRIEVAL | EM ALGORITHM | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | CLASSIFIERS | PROBABILITIES | Learning | Training | Trains | Labels | Data sources | Cobalt
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 04/2016, Volume 17
We present a method for extracting depth information from a rectified image pair. Our approach focuses on the first stage of many stereo algorithms: the... 
Matching cost | Convolutional neural networks | Stereo | Supervised learning | Similarity learning | supervised learning | stereo | matching cost | similarity learning | convolutional neural networks | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 07/2018, Volume 29, Issue 7, pp. 3126 - 3139
Journal Article
Knowledge-Based Systems, ISSN 0950-7051, 03/2018, Volume 143, pp. 65 - 80
Applying unlabeled data in semi-supervised self-training can significantly improve the accuracy of a supervised classifier, but in some cases, it may... 
Cluster analysis | Semi-supervised classification | Semi-supervised clustering | Self-training | Active learning | NOISE | SVM | TEXT CLASSIFICATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Nature Communications, ISSN 2041-1723, 12/2017, Volume 8, Issue 1, pp. 2208 - 15
Journal Article
IEEE Transactions on Industrial Informatics, ISSN 1551-3203, 3/2019, pp. 1 - 1
Building accurate regression models using limited data is a challenging problem in manufacturing data analysis. In this paper, we study a particular... 
multi-view learning | Estimation | Hidden Markov models | Metrology | Data models | Manufacturing | Classification algorithms | co-training | semi-supervised learning | Task analysis
Journal Article
International Journal of Pattern Recognition and Artificial Intelligence, ISSN 0218-0014, 11/2011, Volume 25, Issue 7, pp. 1113 - 1126
Co-training is a multiview semi-supervised learning algorithm to learn from both labeled and unlabeled data, which iteratively adopts a classifier trained on... 
handwritten digit recognition | web-page classification | semi-supervised learning | advertisement classification | Canonical correlation analysis (CCA) | multiview learning | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Algorithms | Classifiers | Deterioration | Classification | Labels | Pattern recognition | Representations | Cobalt | Expert systems
Journal Article
Neurocomputing, ISSN 0925-2312, 05/2013, Volume 107, pp. 3 - 10
In a previous work (Mohemmed et al., Method for training a spiking neuron to associate input–output spike trains) we have proposed a supervised learning... 
Supervised learning | Temporal coding | Spatio-temporal control | Spiking neural networks | NEURONS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | PLASTICITY | Algorithms | Data mining | Neural networks | Implants, Artificial | Prosthesis
Journal Article
PLoS Computational Biology, ISSN 1553-734X, 05/2016, Volume 12, Issue 5, p. e1004948
Journal Article
Data & Knowledge Engineering, ISSN 0169-023X, 11/2017, Volume 112, pp. 94 - 105
In recent years, monotonic ordinal classification has increased the focus of attention for machine learning community. Real life problems frequently have... 
Ordinal classification | Data preprocessing | Training set selection | Machine learning | Monotonic classification | SUPERVISED RANKING | COMPUTER SCIENCE, INFORMATION SYSTEMS | NEAREST-NEIGHBOR | EVOLUTIONARY ALGORITHMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | DECISION TREES | MACHINE | PROTOTYPE SELECTION
Journal Article