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Bioinformatics, ISSN 1367-4803, 06/2016, Volume 32, Issue 12, pp. i18 - i27
.... Learning to rank is the most powerful technique in the feature-based methods. Similarity-based methods are well accepted, due to their idea of connecting the chemical and genomic spaces, represented by drug and target similarities, respectively... 
Databases, Pharmaceutical | Computational Biology - methods | Drug Interactions | United States | Genomics | Pharmaceutical Preparations - chemistry | Software | Drug Discovery | United States Food and Drug Administration | Drug Delivery Systems | Index Medicus | Learning | Drugs | Analogies | Tasks | Recall | Foods | Bioinformatics | Cost engineering | Ismb 2016 Proceedings July 8 to July 12, 2016, Orlando, Florida
Journal Article
IEEE transactions on pattern analysis and machine intelligence, ISSN 0162-8828, 01/2013, Volume 35, Issue 1, pp. 171 - 184
Journal Article
by Fu, Yun
2014, 2014, ISBN 3319119990, 240
This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding and learning among unconstrained visual data... 
Visualization | Information visualization | Representations of groups | Machine learning | Mathematical models | Sparse matrices | Visual perception | Signal, Image and Speech Processing | Computer Science | Image Processing and Computer Vision | Computer Imaging, Vision, Pattern Recognition and Graphics
eBook
IEEE transaction on neural networks and learning systems, ISSN 2162-2388, 11/2016, Volume 27, Issue 11, pp. 2160 - 2173
Journal Article
07/2018, Methods in Molecular Biology, ISBN 1493985604, Volume 1807
.... Approaches based on machine learning for this problem can be divided into two types: feature-based and similarity-based methods. By utilizing the “Learning to rank... 
DrugE-Rank | Learning to rank | Drug discovery | DrugE-rank | User-Computer Interface | Drug Approval | Algorithms | Drug Interactions | United States | United States Food and Drug Administration | Index Medicus
Book Chapter
SIAM journal on matrix analysis and applications, ISSN 1095-7162, 01/2014, Volume 35, Issue 1, pp. 225 - 253
.... In this paper, we study the problem of robust low-rank tensor recovery in a convex optimization framework, drawing upon recent advances in robust principal component analysis and tensor completion... 
Tucker rank | Tensor decompositions | Alternating direction augmented Lagrangian | Low-rank tensors | Higher-order robust PCA | Variable-splitting | Physical Sciences | Mathematics | Mathematics, Applied | Science & Technology | Tensors | Algorithms | Mathematical analysis | Mathematical models | Arrays | Recovery | Optimization | Convergence | Statistics - Machine Learning
Journal Article
Journal Article
IEEE transactions on pattern analysis and machine intelligence, ISSN 0162-8828, 04/2017, Volume 39, Issue 4, pp. 773 - 787
Journal Article
Operations research, ISSN 1526-5463, 02/2017, Volume 65, Issue 1, pp. 266 - 287
.... In this paper, we propose Rank Centrality , an iterative rank aggregation algorithm for discovering scores for objects (or items... 
Markov chain | random walk | rank centrality | rank aggregation | Rank aggregation | Rank centrality | Random walk | Business & Economics | Operations Research & Management Science | Social Sciences | Management | Technology | Science & Technology | Pairwise comparison | Analysis
Journal Article
IEEE transactions on pattern analysis and machine intelligence, ISSN 0162-8828, 03/2013, Volume 35, Issue 3, pp. 597 - 610
Journal Article