Algorithm Selection

Algorithm Selection (sometimes also called per-instance algorithm selection or offline algorithm selection) is a meta-algorithmic technique to choose… (More)
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Related topics

Related topics

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Automated planning and schedulingBoolean satisfiability problemConstraint satisfaction problemHyper-heuristic
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Computer scienceMachine learning

Papers overview

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Highly Cited
2011
Highly Cited
2011
Algorithm Selection and Scheduling
Algorithm portfolios aim to increase the robustness of our ability to solve problems efficiently. While recently proposed… (More)
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Highly Cited
2011
Highly Cited
2011
Algorithm Selection and Model Adaptation for ESL Correction Tasks
We consider the problem of correcting errors made by English as a Second Language (ESL) writers and address two issues that are… (More)
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Highly Cited
2010
Highly Cited
2010
Hydra: Automatically Configuring Algorithms for Portfolio-Based Selection
The AI community has achieved great success in designing high-performance algorithms for hard combinatorial problems, given both… (More)
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Highly Cited
2008
Highly Cited
2008
SATzilla: Portfolio-based Algorithm Selection for SAT
It has been widely observed that there is no single “dominant” SAT solver; instead, different solvers perform best on different… (More)
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Highly Cited
2008
Highly Cited
2008
Cross-disciplinary perspectives on meta-learning for algorithm selection
The algorithm selection problem [Rice 1976] seeks to answer the question: Which algorithm is likely to perform best for my… (More)
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Highly Cited
2006
Highly Cited
2006
On learning algorithm selection for classification
This paper introduces a new method for learning algorithm evaluation and selection, with empirical results based on… (More)
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Highly Cited
2005
Highly Cited
2005
A framework for adaptive algorithm selection in STAPL
Writing portable programs that perform well on multiple platforms or for varying input sizes and types can be very difficult… (More)
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Highly Cited
2003
Highly Cited
2003
A Portfolio Approach to Algorithm Selection
In this paper we present an approach to the task of generating and resolving referring expressions (REs) for conversational… (More)
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Highly Cited
2000
Highly Cited
2000
Algorithm Selection using Reinforcement Learning
Many computational problems can be solved by multiple algorithms, with different algorithms fastest for different problem sizes… (More)
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Highly Cited
1999
Highly Cited
1999
AST: Support for Algorithm Selection with a CBR Approach
Providing user support for the application of Data Mining algorithms in the eld of Knowledge Discovery in Databases (KDD) is an… (More)
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