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IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 08/2018, Volume 29, Issue 8, pp. 3374 - 3387
Journal Article
Lancet Oncology, The, ISSN 1470-2045, 2017, Volume 18, Issue 1, pp. 132 - 142
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 12/2016, Volume 17, pp. 1 - 5
RLScore is a Python open source module for kernel based machine learning. The library provides implementations of several regularized least-squares (RLS) type... 
Kernel methods | Regularized least-squares | Feature selection | Kronecker product kernel | Pair-input learning | Cross-validation | Python | python | pair-input learning | regularized least-squares | kernel methods | cross-validation | feature selection | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
BMC Bioinformatics, ISSN 1471-2105, 04/2008, Volume 9, Issue 3, pp. S6 - S6
Journal Article
PLoS Computational Biology, ISSN 1553-734X, 08/2017, Volume 13, Issue 8, p. e1005678
Journal Article
Statistical Methods in Medical Research, ISSN 0962-2802, 11/2019, Volume 28, Issue 10-11, pp. 2975 - 2991
Journal Article
Data Mining and Knowledge Discovery, ISSN 1384-5810, 2018, Volume 33, Issue 3, pp. 730 - 747
Journal Article
International Journal of Medical Informatics, ISSN 1386-5056, 01/2020, Volume 133, p. 104014
Journal Article
PLoS Genetics, ISSN 1553-7390, 11/2014, Volume 10, Issue 11
  [...]we discuss some key future advances, open questions and challenges in this developing field, when moving toward low-frequency variants and... 
Datasets | Genotype & phenotype | Cardiovascular disease | Genomes | Health risk assessment
Journal Article
Neurocomputing, ISSN 0925-2312, 01/2014, Volume 123, pp. 23 - 32
One of the main learning tasks in machine learning is the one of classifying data items. The basis for such a task is usually a training set consisting of... 
Quasi-Newton methods | Non-convex optimization | Semi-supervised support vector machines | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Computer science | Analysis | Learning | Support vector machines | Tasks | Run time (computers) | Data sets | Classification | Machine learning | Optimization
Journal Article
Briefings in bioinformatics, ISSN 1467-5463, 10/2018
Supervised machine learning techniques have traditionally been very successful at reconstructing biological networks, such as protein-ligand interaction,... 
Journal Article
European Journal of Engineering Education, ISSN 0304-3797, 01/2018, Volume 43, Issue 1, pp. 90 - 98
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 04/2014, Volume 40, Issue 1, pp. 56 - 65
We consider the problem of learning sparse linear models for multi-label prediction tasks under a hard constraint on the number of features. Such budget... 
Multi-label learning | Regularized least-squares | Feature selection | Greedy forward selection | REGRESSION | MODEL SELECTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Algorithms
Journal Article