Metalearning: a survey of trends and technologies

Load forecasting using a multivariate meta-learning system

(2013) Marin Matijaš et al.   EXPERT SYSTEMS WITH APPLICATIONS

Meta-learning for evolutionary parameter optimization of classifiers

(2012) Matthias Reif et al.   MACHINE LEARNING

Automatic classifier selection for non-experts

(2012) Matthias Reif et al.   PATTERN ANALYSIS AND APPLICATIONS

Combining meta-learning and search techniques to select parameters for support vector machines

(2011) Taciana A.F. Gomes et al.   NEUROCOMPUTING

Domain-Driven Data Mining: Challenges and Prospects

(2010) Longbing Cao   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Meta-learning for time series forecasting and forecast combination

(2010) Christiane Lemke et al.   NEUROCOMPUTING

Robust predictive modelling of water pollution using biomarker data

(2010) Marcin Budka et al.   WATER RESEARCH

Cross-disciplinary perspectives on meta-learning for algorithm selection

(2009) Kate A. Smith-Miles   ACM COMPUTING SURVEYS

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Architecture for development of adaptive on-line prediction models

(2009) Petr Kadlec et al.   Memetic Computing

Evolving artificial neural network ensembles

(2008) Xin Yao et al.   IEEE Computational Intelligence Magazine

Inductive transfer with context-sensitive neural networks

(2008) Daniel L. Silver et al.   MACHINE LEARNING

Flexible latent variable models for multi-task learning

(2008) Jian Zhang et al.   MACHINE LEARNING

Guest editor’s introduction: special issue on inductive transfer learning

(2008) Daniel L. Silver et al.   MACHINE LEARNING

Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series

(2008) Xiaozhe Wang et al.   NEUROCOMPUTING