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检索条件"机构=Centre for Pattern Recognition and Data Analytics"
92 条 记 录,以下是1-10 订阅
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Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries
Hybrid genetic-discretized algorithm to handle data uncertai...
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作者: Alizadehsani, Roohallah Roshanzamir, Mohamad Abdar, Moloud Beykikhoshk, Adham Khosravi, Abbas Nahavandi, Saeid Plawiak, Pawel Tan, Ru San Acharya, U Rajendra Deakin University GeelongVIC Australia Department of Engineering Fasa Branch Islamic Azad University Fars Fasa Iran Centre for Pattern Recognition and Data Analytics Deakin University GeelongVIC Australia Department of Information and Communications Technology Faculty of Computer Science and Telecommunications Cracow University of Technology Warszawska 24 st. F-3 31-155 Krakow Poland Institute of Theoretical and Applied Informatics Polish Academy of Sciences Baltycka 5 Gliwice44-100 Poland National Heart Centre Singapore Singapore Department of Electronics and Computer Engineering Ngee Ann Polytechnic Singapore Department of Biomedical Engineering School of Science and Technology Singapore University of Social Sciences Singapore Department of Bioinformatics and Medical Engineering Asia University Taiwan
Coronary artery disease (CAD) is the leading cause of morbidity and death worldwide. Invasive coronary angiography is the most accurate technique for diagnosing CAD, but is invasive and costly. Hence, analytical metho... 详细信息
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Bayesian functional optimisation with shape prior  33
Bayesian functional optimisation with shape prior
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33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Annual Conference on Innovative Applications of Artificial Intelligence, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019
作者: Vellanki, Pratibha Rana, Santu Gupta, Sunil de Celis Leal, David Rubin Sutti, Alessandra Height, Murray Venkatesh, Svetha Centre for Pattern Recognition and Data Analytics Deakin University Geelong Australia Institute for Frontier Materials GTP Research Deakin University Geelong Australia
Real world experiments are expensive, and thus it is important to reach a target in a minimum number of experiments. Experimental processes often involve control variables that change over time. Such problems can be f... 详细信息
来源: 评论
Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives
arXiv
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arXiv 2019年
作者: Joy, Tinu Theckel Rana, Santu Gupta, Sunil Venkatesh, Svetha Centre for Pattern Recognition and Data Analytics Deakin University
In this paper, we develop a Bayesian optimization based hyperparameter tuning framework inspired by statistical learning theory for classifiers. We utilize two key facts from PAC learning theory;the generalization bou... 详细信息
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Graph Memory Networks for Molecular Activity Prediction  24
Graph Memory Networks for Molecular Activity Prediction
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24th International Conference on pattern recognition, ICPR 2018
作者: Pham, Trang Tran, Truyen Venkatesh, Svetha Centre for Pattern Recognition and Data Analytics Deakin University Geelong Australia
Molecular activity prediction is critical in drug design. Machine learning techniques such as kernel methods and random forests have been successful for this task. These models require fixed-size feature vectors as in... 详细信息
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Algorithmic assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation  32
Algorithmic assurance: An Active Approach to Algorithmic Tes...
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32nd Conference on Neural Information Processing Systems, NeurIPS 2018
作者: Gopakumar, Shivapratap Gupta, Sunil Rana, Santu Nguyen, Vu Venkatesh, Svetha Centre for Pattern Recognition and Data Analytics Deakin University Geelong Australia
We introduce algorithmic assurance, the problem of testing whether machine learning algorithms are conforming to their intended design goal. We address this problem by proposing an efficient framework for algorithmic ... 详细信息
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Learning graph representation via frequent subgraphs
Learning graph representation via frequent subgraphs
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2018 SIAM International Conference on data Mining, SDM 2018
作者: Nguyen, Dang Luo, Wei Nguyen, Tu Dinh Venkatesh, Svetha Phung, Dinh Deakin University Centre for Pattern Recognition and Data Analytics Geelong Australia
We propose a novel approach to learn distributed representation for graph data. Our idea is to combine a recently introduced neural document embedding model with a traditional pattern mining technique, by treating a g... 详细信息
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Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records
Resset: A Recurrent Model for Sequence of Sets with Applicat...
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2018 International Joint Conference on Neural Networks, IJCNN 2018
作者: Nguyen, Phuoc Tran, Truyen Venkatesh, Svetha Centre for Pattern Recognition and Data Analytics Deakin University Geelong Australia
Modern healthcare is ripe for disruption by AI. A game changer would be automatic understanding the latent processes from electronic medical records, which are being collected for billions of people worldwide. However... 详细信息
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A novel embedding model for knowledge base completion based on convolutional neural network
A novel embedding model for knowledge base completion based ...
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2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2018
作者: Nguyen, Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Phung, Dinh Deakin University Geelong Australia Centre for Pattern Recognition and Data Analytics University of Melbourne Melbourne Australia
In this paper, we propose a novel embedding model, named ConvKB, for knowledge base completion. Our model ConvKB advances state-of-the-art models by employing a convolutional neural network, so that it can capture glo... 详细信息
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A Kalman filtering induced heuristic optimization based partitional data clustering
arXiv
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arXiv 2019年
作者: Pakrashi, Arjun Chaudhuri, Bidyut B. Insight Centre for Data Analytics University College Dublin Ireland Computer Vision & Pattern Recognition Unit Indian Statistical Institute 203 B.T. Road Kolkata700108 India
Clustering algorithms have regained momentum with recent popularity of data mining and knowledge discovery approaches. To obtain good clustering in reasonable amount of time, various meta-heuristic approaches and thei... 详细信息
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Expected Hypervolume Improvement with Constraints
Expected Hypervolume Improvement with Constraints
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International Conference on pattern recognition
作者: Majid Abdolshah Alistair Shilton Santu Rana Sunil Gupta Svetha Venkatesh Centre for Pattern Recognition and Data Analytics Deakin University Australia
Bayesian optimisation has become a powerful framework for global optimisation of black-box functions that are expensive to evaluate and possibly noisy. In addition to expensive evaluation of objective functions, many ... 详细信息
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