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Algorithm Selection

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

Related topics

9 relations
Automated planning and schedulingBoolean satisfiability problemConstraint satisfaction problemHyper-heuristic
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Broader (2)

Computer scienceMachine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
The correct use of model evaluation, model selection, and algorithm selection techniques is vital in academic machine learning… Expand
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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… Expand
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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… Expand
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Highly Cited
2009
Highly Cited
2009
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… Expand
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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… Expand
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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… Expand
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Highly Cited
2002
Highly Cited
2002
Algorithm selection via meta-learning
The goal of this thesis is to provide support to the analyst in selecting the appropriate classification algorithm for a specific… Expand
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Highly Cited
2000
Highly Cited
2000
Adaptive document image binarization
Abstract A new method is presented for adaptive document image binarization, where the page is considered as a collection of… Expand
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Highly Cited
1996
Highly Cited
1996
Genetic Algorithms + Data Structures = Evolution Programs
1 GAs: What Are They?.- 2 GAs: How Do They Work?.- 3 GAs: Why Do They Work?.- 4 GAs: Selected Topics.- 5 Binary or Float?.- 6… Expand
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Highly Cited
1976
Highly Cited
1976
The Algorithm Selection Problem
Publisher Summary The problem of selecting an effective algorithm arises in a wide variety of situations. This chapter starts… Expand
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