Multi-Task Learning for Classification with Dirichlet Process Priors
The Journal of Machine Learning Research
Learning a meta-level prior for feature relevance from multiple related tasks
Proceedings of the 24th international conference on Machine learning
Hierarchical classification for automatic image annotation
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Discriminatively regularized least-squares classification
Pattern Recognition
A Hierarchical Approach for Multi-task Logistic Regression
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
A Single Layer Perceptron Approach to Selective Multi-task Learning
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
Multi-task Neural Networks for Dealing with Missing Inputs
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
Learning from Relevant Tasks Only
ECML '07 Proceedings of the 18th European conference on Machine Learning
An Algorithm for Transfer Learning in a Heterogeneous Environment
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Kernel-Based Inductive Transfer
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
The Journal of Machine Learning Research
Inductive transfer with context-sensitive neural networks
Machine Learning
Convex multi-task feature learning
Machine Learning
Flexible latent variable models for multi-task learning
Machine Learning
Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees
DS '08 Proceedings of the 11th International Conference on Discovery Science
Multitask visual learning using genetic programming
Evolutionary Computation
Brief paper: Fast algorithms for nonparametric population modeling of large data sets
Automatica (Journal of IFAC)
Elastic-net regularization in learning theory
Journal of Complexity
A convex formulation for learning shared structures from multiple tasks
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Domain adaptation from multiple sources via auxiliary classifiers
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
An Information-Theoretic Approach for Multi-task Learning
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Hierarchical Bayesian domain adaptation
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
IEEE Transactions on Signal Processing
Semi-supervised classification on evolutionary data
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Transfer learning using task-level features with application to information retrieval
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
When Is There a Representer Theorem? Vector Versus Matrix Regularizers
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Multitask learning with expert advice
COLT'07 Proceedings of the 20th annual conference on Learning theory
Structured max-margin learning for multi-label image annotation
Proceedings of the ACM International Conference on Image and Video Retrieval
A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization
Neural Processing Letters
Learning incoherent sparse and low-rank patterns from multiple tasks
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
A novel learning approach to multiple tasks based on boosting methodology
Pattern Recognition Letters
Probabilistic Multi-Task Learning for Visual Saliency Estimation in Video
International Journal of Computer Vision
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Leveraging loosely-tagged images and inter-object correlations for tag recommendation
Proceedings of the international conference on Multimedia
Learning with convex constraints
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Vector field learning via spectral filtering
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Shift-invariant grouped multi-task learning for Gaussian processes
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Relevant subtask learning by constrained mixture models
Intelligent Data Analysis
IEEE Transactions on Evolutionary Computation - Special issue on preference-based multiobjective evolutionary algorithms
Multi-agent learning by distributed feature extraction
ALAMAS'05/ALAMAS'06/ALAMAS'07 Proceedings of the 5th , 6th and 7th European conference on Adaptive and learning agents and multi-agent systems: adaptation and multi-agent learning
Adapted transfer of distance measures for quantitative structure-activity relationships
DS'10 Proceedings of the 13th international conference on Discovery science
Linear Algorithms for Online Multitask Classification
The Journal of Machine Learning Research
Multitask Sparsity via Maximum Entropy Discrimination
The Journal of Machine Learning Research
Neurocomputing
Integrating low-rank and group-sparse structures for robust multi-task learning
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Computationally Efficient Convolved Multiple Output Gaussian Processes
The Journal of Machine Learning Research
Local feature based tensor kernel for image manifold learning
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
Multi-task learning via non-sparse multiple kernel learning
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Fast Projections onto l1,q-norm balls for grouped feature selection
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Conditional graphical models for protein structure prediction
Conditional graphical models for protein structure prediction
Multi-task regularization of generative similarity models
SIMBAD'11 Proceedings of the First international conference on Similarity-based pattern recognition
Multi-platform gene-expression mining and marker gene analysis
International Journal of Data Mining and Bioinformatics
Collaborative online learning of user generated content
Proceedings of the 20th ACM international conference on Information and knowledge management
Semi-supervised multi-task learning of structured prediction models for web information extraction
Proceedings of the 20th ACM international conference on Information and knowledge management
Content based social behavior prediction: a multi-task learning approach
Proceedings of the 20th ACM international conference on Information and knowledge management
Multi-instance multi-label learning
Artificial Intelligence
Learning "verb-object" concepts for semantic image annotation
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Multi-task learning to rank for web search
Pattern Recognition Letters
Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning
SIAM Journal on Optimization
Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks
ACM Transactions on Knowledge Discovery from Data (TKDD)
Online multiple tasks one-shot learning of object categories and vision
Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia
The rademacher complexity of linear transformation classes
COLT'06 Proceedings of the 19th annual conference on Learning Theory
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Support vector machine to synthesise kernels
Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning
Improved machine learning models for predicting selective compounds
Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
Leveraging sequence classification by taxonomy-based multitask learning
RECOMB'10 Proceedings of the 14th Annual international conference on Research in Computational Molecular Biology
Expert Systems with Applications: An International Journal
Refinement of operator-valued reproducing kernels
The Journal of Machine Learning Research
Multisubject learning for common spatial patterns in motor-imagery BCI
Computational Intelligence and Neuroscience - Special issue on Selected Papers from the 4th International Conference on Bioinspired Systems and Cognitive Signal Processing
Multi-kernel Gaussian processes
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Modeling disease progression via fused sparse group lasso
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Kernels for Vector-Valued Functions: A Review
Foundations and Trends® in Machine Learning
Relational Feature Mining with Hierarchical Multitask kFOIL
Fundamenta Informaticae - Machine Learning in Bioinformatics
Semi-supervised multi-instance multi-label learning for video annotation task
Proceedings of the 20th ACM international conference on Multimedia
Fast multi-task learning for query spelling correction
Proceedings of the 21st ACM international conference on Information and knowledge management
Classifying patterns with missing values using Multi-Task Learning perceptrons
Expert Systems with Applications: An International Journal
Tree ensembles for predicting structured outputs
Pattern Recognition
Multitask multiclass support vector machines: Model and experiments
Pattern Recognition
Classifier ensemble recommendation
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
Efficient training of graph-regularized multitask SVMs
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Geometry preserving multi-task metric learning
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Efficiently learning the preferences of people
Machine Learning
Multi-Task learning using shared and task specific information
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Manifold regularized multi-task learning
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Multitask twin support vector machines
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
A theory of transfer learning with applications to active learning
Machine Learning
Vector-valued reproducing kernel Banach spaces with applications to multi-task learning
Journal of Complexity
Finite rank kernels for multi-task learning
Advances in Computational Mathematics
Enhanced representation and multi-task learning for image annotation
Computer Vision and Image Understanding
A multi-task learning approach for the extraction of single-trial evoked potentials
Computer Methods and Programs in Biomedicine
Sentiment and topic analysis on social media: a multi-task multi-label classification approach
Proceedings of the 5th Annual ACM Web Science Conference
Multi-output least-squares support vector regression machines
Pattern Recognition Letters
Efficient online learning for multitask feature selection
ACM Transactions on Knowledge Discovery from Data (TKDD)
Multi-task regression using minimal penalties
The Journal of Machine Learning Research
Learning output kernels for multi-task problems
Neurocomputing
Learning high-order task relationships in multi-task learning
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Multi-task learning with one-class SVM
Neurocomputing
| Hi-index | 0.01 |
We study the problem of learning many related tasks simultaneously using kernel methods and regularization. The standard single-task kernel methods, such as support vector machines and regularization networks, are extended to the case of multi-task learning. Our analysis shows that the problem of estimating many task functions with regularization can be cast as a single task learning problem if a family of multi-task kernel functions we define is used. These kernels model relations among the tasks and are derived from a novel form of regularizers. Specific kernels that can be used for multi-task learning are provided and experimentally tested on two real data sets. In agreement with past empirical work on multi-task learning, the experiments show that learning multiple related tasks simultaneously using the proposed approach can significantly outperform standard single-task learning particularly when there are many related tasks but few data per task.