Control-Sensitive Feature Selection for Lazy Learners
Artificial Intelligence Review - Special issue on lazy learning
IGTree: Using Trees for Compression and Classification in Lazy LearningAlgorithms
Artificial Intelligence Review - Special issue on lazy learning
Machine Learning for the Detection of Oil Spills in Satellite Radar Images
Machine Learning - Special issue on applications of machine learning and the knowledge discovery process
A perspective view and survey of meta-learning
Artificial Intelligence Review
A Comparison of Ranking Methods for Classification Algorithm Selection
ECML '00 Proceedings of the 11th 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
Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance Information
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Discovering Task Neighbourhoods Through Landmark Learning Performances
PKDD '00 Proceedings of the 4th 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
Active Exploration in Instance-Based Preference Modeling
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Feature Selection for Meta-learning
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Mindful: A framework for Meta-INDuctive neuro-FUzzy Learning
Information Sciences: an International Journal
Variations of the two-spiral task
Connection Science
Selective generation of training examples in active meta-learning
International Journal of Hybrid Intelligent Systems - HIS 2007
Catching the Drift: Using Feature-Free Case-Based Reasoning for Spam Filtering
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Towards Case-Based Support for e-Science Workflow Generation by Mining Provenance
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Cross-disciplinary perspectives on meta-learning for algorithm selection
ACM Computing Surveys (CSUR)
Case-Sensitivity of Classifiers for WSD: Complex Systems Disambiguate Tough Words Better
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Bridging the lesson distribution gap
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Active Generation of Training Examples in Meta-Regression
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Active learning to support the generation of meta-examples
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Using learning algorithm behavior to chart task space: The DICES distance
Intelligent Data Analysis
The Knowledge Engineering Review
On simulating episodic events against a background of noise-like non-episodic events
Proceedings of the 2010 Summer Computer Simulation Conference
User preferences based software defect detection algorithms selection using MCDM
Information Sciences: an International Journal
Evaluating CBR systems using different data sources: a case study
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Exploring the way for meta-learning with the MINDFUL system
WILF'05 Proceedings of the 6th international conference on Fuzzy Logic and Applications
Mining the hidden structure of inductive learning data sets
Canadian AI'12 Proceedings of the 25th Canadian conference on Advances in Artificial Intelligence
On the pattern recognition and classification of stochastically episodic events
Transactions on Compuational Collective Intelligence VI
Clustering algorithm recommendation: a meta-learning approach
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
A survey of intelligent assistants for data analysis
ACM Computing Surveys (CSUR)
Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms
Genetic Programming and Evolvable Machines
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