Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Empirical Learning as a Function of Concept Character
Machine Learning
Letter Recognition Using Holland-Style Adaptive Classifiers
Machine Learning
Generalizing from case studies: a case study
ML92 Proceedings of the ninth international workshop on Machine learning
A survey of adaptive sorting algorithms
ACM Computing Surveys (CSUR)
Original Contribution: Stacked generalization
Neural Networks
Neural network system for forecasting method selection
Decision Support Systems
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Generating hard satisfiability problems
Artificial Intelligence - Special volume on frontiers in problem solving: phase transitions and complexity
Combining and selecting forecasting models using rule based induction
Computers and Operations Research
On the Accuracy of Meta-learning for Scalable Data Mining
Journal of Intelligent Information Systems
The Racing Algorithm: Model Selection for Lazy Learners
Artificial Intelligence Review - Special issue on lazy learning
Towards a characterisation of the behaviour of stochastic local search algorithms for SAT
Artificial Intelligence
Machine Learning
Finding the Right Hybrid Algorithm – A Combinatorial Meta-Problem
Annals of Mathematics and Artificial Intelligence
On the Hardness of the Quadratic Assignment Problem with Metaheuristics
Journal of Heuristics
A perspective view and survey of meta-learning
Artificial Intelligence Review
Combining Classifiers with Meta Decision Trees
Machine Learning
Ranking with Predictive Clustering Trees
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Characterization of Classification Algorithms
EPIA '95 Proceedings of the 7th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Fitness Distance Correlation as a Measure of Problem Difficulty for Genetic Algorithms
Proceedings of the 6th International Conference on Genetic Algorithms
Meta-Learning by Landmarking Various Learning Algorithms
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Hybrid Decision Tree Learners with Alternative Leaf Classifiers: An Empirical Study
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference
A Bayesian Approach to Tackling Hard Computational Problems
UAI '01 Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence
Learning the Empirical Hardness of Optimization Problems: The Case of Combinatorial Auctions
CP '02 Proceedings of the 8th International Conference on Principles and Practice of Constraint Programming
Improved Dataset Characterisation for Meta-learning
DS '02 Proceedings of the 5th International Conference on Discovery Science
Model Complexity and Algorithm Selection in Classification
DS '02 Proceedings of the 5th International Conference on Discovery Science
Combinatorial Optimization through Statistical Instance-Based Learning
ICTAI '01 Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence
Algorithm selection for sorting and probabilistic inference: a machine learning-based approach
Algorithm selection for sorting and probabilistic inference: a machine learning-based approach
Advanced fitness landscape analysis and the performance of memetic algorithms
Evolutionary Computation - Special issue on magnetic algorithms
IEEE Transactions on Knowledge and Data Engineering
Characteristic-Based Clustering for Time Series Data
Data Mining and Knowledge Discovery
Dynamic Algorithm Selection Using Reinforcement Learning
AIDM '06 Proceedings of the International Workshop on on Integrating AI and Data Mining
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Learning dynamic algorithm portfolios
Annals of Mathematics and Artificial Intelligence
Evolving combinatorial problem instances that are difficult to solve
Evolutionary Computation
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
A meta-learning approach for selecting between response automation strategies in a help-desk domain
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Combining multiple heuristics online
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
A portfolio approach to algorithm select
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Backbones in optimization and approximation
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
On learning algorithm selection for classification
Applied Soft Computing
Hierarchical hardness models for SAT
CP'07 Proceedings of the 13th international conference on Principles and practice of constraint programming
SATzilla-07: the design and analysis of an algorithm portfolio for SAT
CP'07 Proceedings of the 13th international conference on Principles and practice of constraint programming
Meta-data: characterization of input features for meta-learning
MDAI'05 Proceedings of the Second international conference on Modeling Decisions for Artificial Intelligence
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
Instance-Based Selection of Policies for SAT Solvers
SAT '09 Proceedings of the 12th International Conference on Theory and Applications of Satisfiability Testing
Depth first algorithms and inferencing for AFD mining
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
Adaptive Anomaly Detection via Self-calibration and Dynamic Updating
RAID '09 Proceedings of the 12th International Symposium on Recent Advances in Intrusion Detection
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Algorithm and Feature Selection for VegOut: A Vegetation Condition Prediction Tool
DS '09 Proceedings of the 12th International Conference on Discovery Science
Practical performance models of algorithms in evolutionary program induction and other domains
Artificial Intelligence
Autonomous operator management for evolutionary algorithms
Journal of Heuristics
Algorithm selection as a bandit problem with unbounded losses
LION'10 Proceedings of the 4th international conference on Learning and intelligent optimization
Learning decision trees for the analysis of optimization heuristics
LION'10 Proceedings of the 4th international conference on Learning and intelligent optimization
An empirical study of classification algorithm evaluation for financial risk prediction
Applied Soft Computing
Optimization of heuristic search using recursive algorithm selection and reinforcement learning
Annals of Mathematics and Artificial Intelligence
Review: Measuring instance difficulty for combinatorial optimization problems
Computers and Operations Research
Uncertainty sampling-based active selection of datasetoids for meta-learning
ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
Algorithm selection and scheduling
CP'11 Proceedings of the 17th international conference on Principles and practice of constraint programming
Algorithm portfolio selection as a bandit problem with unbounded losses
Annals of Mathematics and Artificial Intelligence
User preferences based software defect detection algorithms selection using MCDM
Information Sciences: an International Journal
Combining Uncertainty Sampling methods for supporting the generation of meta-examples
Information Sciences: an International Journal
Instance-Specific algorithm configuration as a method for non-model-based portfolio generation
CPAIOR'12 Proceedings of the 9th international conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
An evaluation of machine learning in algorithm selection for search problems
AI Communications - The Symposium on Combinatorial Search
Evaluating component solver contributions to portfolio-based algorithm selectors
SAT'12 Proceedings of the 15th international conference on Theory and Applications of Satisfiability Testing
Selecting classification algorithms with active testing
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Mining the hidden structure of inductive learning data sets
Canadian AI'12 Proceedings of the 25th Canadian conference on Advances in Artificial Intelligence
A meta-learning prediction model of algorithm performance for continuous optimization problems
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
Evaluating tree-decomposition based algorithms for answer set programming
LION'12 Proceedings of the 6th international conference on Learning and Intelligent Optimization
Quantifying homogeneity of instance sets for algorithm configuration
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
Load forecasting using a multivariate meta-learning system
Expert Systems with Applications: An International Journal
A survey of intelligent assistants for data analysis
ACM Computing Surveys (CSUR)
Exploring portfolio scheduling for long-term execution of scientific workloads in IaaS clouds
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Models of performance of time series forecasters
Neurocomputing
Pairwise meta-rules for better meta-learning-based algorithm ranking
Machine Learning
Algorithm runtime prediction: Methods & evaluation
Artificial Intelligence
Information Sciences: an International Journal
A feature subset selection algorithm automatic recommendation method
Journal of Artificial Intelligence Research
Towards objective measures of algorithm performance across instance space
Computers and Operations Research
Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms
Genetic Programming and Evolvable Machines
On the use of meta-learning for instance selection: An architecture and an experimental study
Information Sciences: an International Journal
A metric for unsupervised metalearning
Intelligent Data Analysis
Automatic selection of classification learning algorithms for data mining practitioners
Intelligent Data Analysis
Evolutionary approach for automated component-based decision tree algorithm design
Intelligent Data Analysis - Business Analytics and Intelligent Optimization
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The algorithm selection problem [Rice 1976] seeks to answer the question: Which algorithm is likely to perform best for my problem? Recognizing the problem as a learning task in the early 1990's, the machine learning community has developed the field of meta-learning, focused on learning about learning algorithm performance on classification problems. But there has been only limited generalization of these ideas beyond classification, and many related attempts have been made in other disciplines (such as AI and operations research) to tackle the algorithm selection problem in different ways, introducing different terminology, and overlooking the similarities of approaches. In this sense, there is much to be gained from a greater awareness of developments in meta-learning, and how these ideas can be generalized to learn about the behaviors of other (nonlearning) algorithms. In this article we present a unified framework for considering the algorithm selection problem as a learning problem, and use this framework to tie together the crossdisciplinary developments in tackling the algorithm selection problem. We discuss the generalization of meta-learning concepts to algorithms focused on tasks including sorting, forecasting, constraint satisfaction, and optimization, and the extension of these ideas to bioinformatics, cryptography, and other fields.