X
Search Filters
Format Format
Subjects Subjects
Subjects Subjects
X
Sort by Item Count (A-Z)
Filter by Count
multilabel classification (94) 94
computer science, artificial intelligence (87) 87
classification (75) 75
algorithms (64) 64
engineering, electrical & electronic (58) 58
machine learning (52) 52
training (50) 50
learning (40) 40
multilabel learning (40) 40
computer science (38) 38
labels (36) 36
correlation (32) 32
analysis (30) 30
artificial intelligence (30) 30
computer science, information systems (30) 30
index medicus (28) 28
multilabel (27) 27
feature extraction (25) 25
support vector machines (24) 24
semantics (20) 20
computer science, theory & methods (19) 19
mathematical models (19) 19
usage (18) 18
data mining (17) 17
optimization (17) 17
classifiers (16) 16
studies (16) 16
neural networks (14) 14
framework (13) 13
image classification (13) 13
learning systems (13) 13
task analysis (13) 13
computer science, software engineering (12) 12
data models (12) 12
classification algorithms (11) 11
computer science, interdisciplinary applications (11) 11
deep learning (11) 11
feature selection (11) 11
label classification (11) 11
maschinelles lernen (11) 11
mathematical analysis (11) 11
text categorization (11) 11
automation & control systems (10) 10
hierarchical multilabel classification (10) 10
retrieval (10) 10
training data (10) 10
computer science, hardware & architecture (9) 9
kernel (9) 9
prediction algorithms (9) 9
recognition (9) 9
tasks (9) 9
algorithm design and analysis (8) 8
control, robotics, mechatronics (8) 8
decision trees (8) 8
feature-selection (8) 8
innovations (8) 8
label (8) 8
mathematical optimization (8) 8
methods (8) 8
multi-label classification (8) 8
predictive models (8) 8
regression (8) 8
text classification (8) 8
vectors (8) 8
visualization (8) 8
algorithm (7) 7
annotations (7) 7
benchmarking (7) 7
bioinformatics (7) 7
computational modeling (7) 7
image annotation (7) 7
image processing (7) 7
natural language processing (7) 7
networks (7) 7
remote sensing (7) 7
research article (7) 7
statistics & probability (7) 7
computational intelligence (6) 6
computer science, cybernetics (6) 6
data mining and knowledge discovery (6) 6
dimensionality reduction (6) 6
ensemble (6) 6
ensemble methods (6) 6
hierarchical classification (6) 6
imaging science & photographic technology (6) 6
imbalanced learning (6) 6
information storage and retrieval (6) 6
logistics (6) 6
loss measurement (6) 6
measurement (6) 6
models, statistical (6) 6
pattern recognition, automated - methods (6) 6
proteins (6) 6
segmentation (6) 6
selection (6) 6
semisupervised learning (6) 6
simulation and modeling (6) 6
testing (6) 6
annotation (5) 5
more...
Language Language
Publication Date Publication Date
Click on a bar to filter by decade
Slide to change publication date range


ACM Computing Surveys (CSUR), ISSN 0360-0300, 04/2015, Volume 47, Issue 3, pp. 1 - 38
Multilabel learning has become a relevant learning paradigm in the past years due to the increasing number of fields where it can be applied and also to the emerging number of techniques that are being... 
ranking | classification | machine learning | data mining | Multilabel learning | Ranking | Data mining | Classification | Machine learning | Theory | RETRIEVAL | LABEL CLASSIFICATION | STRATEGIES | PREDICTION | FEATURE-SELECTION | Algorithms | DECISION TREES | FRAMEWORK | Experimentation | OBJECT RECOGNITION | COMPUTER SCIENCE, THEORY & METHODS | MACHINE | Information storage and retrieval | Machine vision | Analysis | Learning | Surveys | Computation
Journal Article
IEEE Transactions on Knowledge and Data Engineering, ISSN 1041-4347, 03/2013, Volume 25, Issue 3, pp. 704 - 719
Journal Article
Machine learning, ISSN 1573-0565, 2009, Volume 76, Issue 2-3, pp. 211 - 225
.... Recent research has shown that, just like for conventional classification, instance-based learning algorithms relying on the nearest neighbor estimation principle can be used quite successfully in this context... 
Multilabel classification | Logistic regression | Instance-based learning | Nearest neighbor classification | Bayesian inference | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Computer science | Algorithms | Data mining | Analysis | Learning | Studies | Bayesian analysis | Classification | Logistics
Journal Article
ACM Transactions on Knowledge Discovery from Data (TKDD), ISSN 1556-4681, 07/2013, Volume 7, Issue 2, pp. 1 - 30
Multilabel learning problems are commonly found in many applications. A characteristic shared by many multilabel learning problems is that some labels have significant correlations... 
label relationship | Multilabel learning | Label relationship | COMPUTER SCIENCE, SOFTWARE ENGINEERING | COMPUTER SCIENCE, INFORMATION SYSTEMS | LABEL | CLASSIFICATION | Learning | Support vector machines | Classification | Mathematical models | Labels | Covariance matrix | Regularization | Optimization
Journal Article
Journal of the American Medical Informatics Association, ISSN 1067-5027, 11/2019, Volume 26, Issue 11, pp. 1181 - 1188
...) is to identify which patients meet the selection criteria for clinical trials. Cohort selection is a particularly demanding task to which natural language processing and deep learning can make a valuable contribution... 
deep learning | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | recurrent neural network | MEDICAL INFORMATICS | multilabel text classification | convolutional neural network | HEALTH CARE SCIENCES & SERVICES | INFORMATION SCIENCE & LIBRARY SCIENCE | COMPUTER SCIENCE, INFORMATION SYSTEMS | cohort selection
Journal Article
Neural Processing Letters, ISSN 1370-4621, 6/2019, Volume 49, Issue 3, pp. 1157 - 1177
Kernel based methods are increasingly being used for data modeling because of their conceptual simplicity and outstanding performance on many learning tasks... 
Computational Intelligence | Artificial Intelligence | Complex Systems | Computer Science | Multi-label learning | Support vector machine | Kernel alignment | Binary relevance | NEURAL-NETWORKS | CLASSIFICATION | ALGORITHMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Multilabel learning
Journal Article
International Journal of Machine Learning and Cybernetics, ISSN 1868-8071, 5/2019, Volume 10, Issue 5, pp. 1093 - 1100
In many multilabel learning applications, instances with labels being fully provided are scarce, while partially labelled data and unlabelled data are more common due to the expensive cost of manual labelling... 
Weak label | Engineering | Pattern Recognition | Computational Intelligence | Control, Robotics, Mechatronics | Semi-supervised learning | Artificial Intelligence | Complex Systems | Systems Biology | Nonnegative matrix factorization (NMF) | Multilabel learning | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
IEEE transactions on knowledge and data engineering, ISSN 1041-4347, 2006, Volume 18, Issue 10, pp. 1338 - 1351
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 03/2010, Volume 11, pp. 1145 - 1200
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a... 
Multilabel | Subgradient | Risk minimization | Hinge loss | Ocas | Variable metric methods | Bundle methods | BMRM | Owl-QN | Multiclass | Wolfe conditions | BFGS | hinge loss | OCAS | ONLINE ALGORITHMS | risk minimization | subgradient | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | multiclass | multilabel | MINIMIZATION | OWL-QN | bundle methods | variable metric methods | AUTOMATION & CONTROL SYSTEMS
Journal Article
IEEE Transactions on Knowledge and Data Engineering, ISSN 1041-4347, 07/2011, Volume 23, Issue 7, pp. 1079 - 1089
A simple yet effective multilabel learning method, called label powerset (LP), considers each distinct combination of labels that exist in the training set as a different class value of a single-label classification task... 
Learning systems | multilabel | labelset | Classification | Predictive models | Prediction algorithms | Complexity theory | Decision trees | Categorization | ensembles | classification | COMPUTER SCIENCE, INFORMATION SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Technology application | Usage | Neural networks | Machine learning | Transformations (Mathematics) | Graph theory | Design and construction | Methods | Studies | Learning | Training | Trains | Tasks | Strategy | Labels | Computational efficiency
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 03/2014, Volume 38, Issue 1, pp. 132 - 141
•Introduces a novel Bayesian multilabel learning algorithm.•Combines dimensionality reduction and classification for (semi-)supervised setup... 
Dimensionality reduction | Automatic relevance determination | Variational approximation | Supervised learning | Semi-supervised learning | Multilabel learning | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Analysis | Algorithms
Journal Article
ACM Transactions on Knowledge Discovery from Data (TKDD), ISSN 1556-4681, 10/2014, Volume 9, Issue 1, pp. 1 - 30
Journal Article
Machine learning, ISSN 1573-0565, 2011, Volume 88, Issue 1-2, pp. 47 - 68
Journal Article
IEEE transactions on cybernetics, ISSN 2168-2267, 06/2020, Volume 50, Issue 6, pp. 2837 - 2850
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 02/2013, Volume 22, Issue 2, pp. 523 - 536
.... Thus, manifold regularization is insufficient to control the model complexity. In this paper, we propose a manifold regularized multitask learning (MRMTL) algorithm... 
Manifolds | Visualization | multilabel | semi-supervised | Nose | manifold | shared subspace | Vectors | Complexity theory | Reliability | Kernel | Image classification | FRAMEWORK | MULTIPLE TASKS | SCENE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | FEATURES | ENGINEERING, ELECTRICAL & ELECTRONIC | Usage | Distribution (Probability theory) | Image processing | Mathematical optimization | Innovations | Machine learning
Journal Article