Learning from hints in neural networks

A Bayesian/Information Theoretic Model of Learning to Learn viaMultiple Task Sampling

Machine Learning - Special issue on inductive transfer

Multitask Learning

Machine Learning - Special issue on inductive transfer

The Role of Occam‘s Razor in Knowledge Discovery

Data Mining and Knowledge Discovery

Using Extra Output Learning to Insert a Symbolic Theory into a Connectionist Network

Minds and Machines

Noisy Time Series Prediction using Recurrent Neural Networks and Grammatical Inference

Machine Learning

Rule Revision With Recurrent Neural Networks

IEEE Transactions on Knowledge and Data Engineering

Inductive Bias in Recurrent Neural Networks

IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I

On the Need for a Neural Abstract Machine

Sequence Learning - Paradigms, Algorithms, and Applications

Benefitting from the variables that variable selection discards

The Journal of Machine Learning Research

Discovery of empirical theories based on the measurement theory

Minds and Machines - Machine learning as experimental philosophy of science

Predicting dire outcomes of patients with community acquired pneumonia

Journal of Biomedical Informatics - Special issue: Clinical machine learning

Including hints in training neural nets

Neural Computation

Incorporating prior knowledge in support vector machines for classification: A review

Neurocomputing

A multitask learning model for online pattern recognition

IEEE Transactions on Neural Networks

Commutativity as prior knowledge in fuzzy modeling

Fuzzy Sets and Systems

Exploiting multitask learning schemes using private subnetworks

IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems

Inductive bias strength in knowledge-based neural networks: application to magnetic resonance spectroscopy of breast tissues

Artificial Intelligence in Medicine

Hierarchical training of multiple SVMs for personalized web filtering

PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence

A latent information function to extend domain attributes to improve the accuracy of small-data-set forecasting

Neurocomputing