A perspective view and survey of meta-learning
Artificial Intelligence Review
Estimating the Predictive Accuracy of a Classifier
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Ranking with Predictive Clustering Trees
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms Before Choosing
EPIA '01 Proceedings of the10th Portuguese Conference on Artificial Intelligence on Progress in Artificial Intelligence, Knowledge Extraction, Multi-agent Systems, Logic Programming and Constraint Solving
Discovering Task Neighbourhoods Through Landmark Learning Performances
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Fusion of Meta-knowledge and Meta-data for Case-Based Model Selection
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
A Comparative Study of Some Issues Concerning Algorithm Recommendation Using Ranking Methods
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Optimizing the Induction of Alternating Decision Trees
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Feature Selection for Meta-learning
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Improved Dataset Characterisation for Meta-learning
DS '02 Proceedings of the 5th International Conference on Discovery Science
An Evaluation of Grading Classifiers
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
Introduction to the Special Issue on Meta-Learning
Machine Learning
On Data and Algorithms: Understanding Inductive Performance
Machine Learning
Fast Theta-Subsumption with Constraint Satisfaction Algorithms
Machine Learning
C4.5 competence map: a phase transition-inspired approach
ICML '04 Proceedings of the twenty-first international conference on Machine learning
IEEE Transactions on Knowledge and Data Engineering
Predicting relative performance of classifiers from samples
ICML '05 Proceedings of the 22nd international conference on Machine learning
Quality assessment of individual classifications in machine learning and data mining
Knowledge and Information Systems
Selective fusion of heterogeneous classifiers
Intelligent Data Analysis
Mindful: A framework for Meta-INDuctive neuro-FUzzy Learning
Information Sciences: an International Journal
Selective generation of training examples in active meta-learning
International Journal of Hybrid Intelligent Systems - HIS 2007
Meta-learning with Machine Generators and Complexity Controlled Exploration
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Cascade RSVM in Peer-to-Peer Networks
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
Information-Theoretic Measures for Meta-learning
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Cross-disciplinary perspectives on meta-learning for algorithm selection
ACM Computing Surveys (CSUR)
On the Importance of Comprehensible Classification Models for Protein Function Prediction
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
An iterative process for building learning curves and predicting relative performance of classifiers
EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence
Using learning algorithm behavior to chart task space: The DICES distance
Intelligent Data Analysis
Estimating accuracy for text classification tasks on large unlabeled data
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Understanding TSP difficulty by learning from evolved instances
LION'10 Proceedings of the 4th international conference on Learning and intelligent optimization
Control of complex machines for meta-learning in computational intelligence
CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Review: Measuring instance difficulty for combinatorial optimization problems
Computers and Operations Research
Prediction of classifier training time including parameter optimization
KI'11 Proceedings of the 34th Annual German conference on Advances in artificial intelligence
Discovering the suitability of optimisation algorithms by learning from evolved instances
Annals of Mathematics and Artificial Intelligence
Protein classification with multiple algorithms
PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics
A landmarker selection algorithm based on correlation and efficiency criteria
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Generalising algorithm performance in instance space: a timetabling case study
LION'05 Proceedings of the 5th international conference on Learning and Intelligent Optimization
Experiment databases: a novel methodology for experimental research
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
Selecting classification algorithms with active testing
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
LION'12 Proceedings of the 6th international conference on Learning and Intelligent Optimization
Flexible Algorithm Selection Framework for Large Scale Metalearning
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
A survey of intelligent assistants for data analysis
ACM Computing Surveys (CSUR)
Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Pairwise meta-rules for better meta-learning-based algorithm ranking
Machine Learning
Algorithm runtime prediction: Methods & evaluation
Artificial Intelligence
Efficient feature size reduction via predictive forward selection
Pattern Recognition
A metric for unsupervised metalearning
Intelligent Data Analysis
Automatic selection of classification learning algorithms for data mining practitioners
Intelligent Data Analysis
Unsupervised categorization of human motion sequences
Intelligent Data Analysis
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