Approximate algorithms for neural-Bayesian approaches
Theoretical Computer Science - Natural computing
Task clustering and gating for bayesian multitask learning
The Journal of Machine Learning Research
Regularized multi--task learning
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Learning a meta-level prior for feature relevance from multiple related tasks
Proceedings of the 24th international conference on Machine learning
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
An Improved Multi-task Learning Approach with Applications in Medical Diagnosis
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Inductive transfer with context-sensitive neural networks
Machine Learning
Flexible latent variable models for multi-task learning
Machine Learning
Tagommenders: connecting users to items through tags
Proceedings of the 18th international conference on World wide web
An Information-Theoretic Approach for Multi-task Learning
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Semi-Supervised Multi-Task Regression
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
A mathematical programming formulation for sparse collaborative computer aided diagnosis
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Transfer learning using task-level features with application to information retrieval
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Image transformation: inductive transfer between multiple tasks having multiple outputs
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
A priori and a posteriori machine learning and nonlinear artificial neural networks
TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
Multitask Sparsity via Maximum Entropy Discrimination
The Journal of Machine Learning Research
Computationally Efficient Convolved Multiple Output Gaussian Processes
The Journal of Machine Learning Research
Conditional graphical models for protein structure prediction
Conditional graphical models for protein structure prediction
Multi-task learning to rank for web search
Pattern Recognition Letters
Leveraging Auxiliary Data for Learning to Rank
ACM Transactions on Intelligent Systems and Technology (TIST)
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Switching and Learning in Feedback Systems
Multi-output least-squares support vector regression machines
Pattern Recognition Letters
Learning output kernels for multi-task problems
Neurocomputing
Multi-task learning with one-class SVM
Neurocomputing
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