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A total of 66 records were found in 0.219 seconds
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A Regression-Based Methodology for Online Algorithm Selection
Hans Degroote
,
Patrick De Causmaecker
,
Bernd Bischl
,
Lars Kotthoff
SOCS
,
37-45
,
2018
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Containerisation and Dynamic Frameworks in ICCMA'19
Stefano Bistarelli
,
Lars Kotthoff
,
Francesco Santini 0001
,
Carlo Taticchi
SAFA@COMMA
,
4-9
,
2018
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Quantifying Algorithmic Improvements over Time
Lars Kotthoff
,
Alexandre Fréchette
,
Tomasz P. Michalak
,
Talal Rahwan
,
Holger H. Hoos
,
Kevin Leyton-Brown
IJCAI
,
5165-5171
,
2018
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The ICON Challenge on Algorithm Selection
Lars Kotthoff
,
Barry Hurley 0001
,
Barry O'Sullivan
AI Magazine
,
38(2):91-93
,
2017
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Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA
Lars Kotthoff
,
Chris Thornton
,
Holger H. Hoos
,
Frank Hutter
,
Kevin Leyton-Brown
Journal of Machine Learning Research
,
1825:1-25:5
,
2017
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mlr: Machine Learning in R
Bernd Bischl
,
Michel Lang
,
Lars Kotthoff
,
Julia Schiffner
,
Jakob Richter
,
Erich Studerus
,
Giuseppe Casalicchio
,
Zachary M. Jones
Journal of Machine Learning Research
,
17170:1-170:5
,
2016
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Proceedings of the 2016 Workshop on Automatic Machine Learning, AutoML 2016, co-located with 33rd International Conference on Machine Learning (ICML 2016), New York City, NY, USA, June 24, 2016
Frank Hutter
,
Lars Kotthoff
,
Joaquin Vanschoren
64
,
2016
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ASlib: A benchmark library for algorithm selection
Bernd Bischl
,
Pascal Kerschke
,
Lars Kotthoff
,
Marius Thomas Lindauer
,
Yuri Malitsky
,
Alexandre Fréchette
,
Holger H. Hoos
,
Frank Hutter
,
Kevin Leyton-Brown
,
Kevin Tierney
,
Joaquin Vanschoren
Artif. Intell.
,
23741-58
,
2016
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Using the Shapley Value to Analyze Algorithm Portfolios
Alexandre Fréchette
,
Lars Kotthoff
,
Tomasz P. Michalak
,
Talal Rahwan
,
Holger H. Hoos
,
Kevin Leyton-Brown
AAAI
,
3397-3403
,
2016
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mlr Tutorial
Julia Schiffner
,
Bernd Bischl
,
Michel Lang
,
Jakob Richter
,
Zachary M. Jones
,
Philipp Probst
,
Florian Pfisterer
,
Mason Gallo
,
Dominik Kirchhoff
,
Tobias Kühn
,
Janek Thomas
,
Lars Kotthoff
CoRR
,
abs/1609.06146
,
2016
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Reinforcement Learning for Automatic Online Algorithm Selection - an Empirical Study
Hans Degroote
,
Bernd Bischl
,
Lars Kotthoff
,
Patrick De Causmaecker
ITAT
,
93-101
,
2016
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Data Mining and Constraint Programming - Foundations of a Cross-Disciplinary Approach
Christian Bessiere
,
Luc De Raedt
,
Lars Kotthoff
,
Siegfried Nijssen
,
Barry O'Sullivan
,
Dino Pedreschi
Springer
,
,
Lecture Notes in Computer Science
,
ISBN: 978-3-319-50136-910101
,
2016
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The Inductive Constraint Programming Loop
Christian Bessiere
,
Luc De Raedt
,
Tias Guns
,
Lars Kotthoff
,
Mirco Nanni
,
Siegfried Nijssen
,
Barry O'Sullivan
,
Anastasia Paparrizou
,
Dino Pedreschi
,
Helmut Simonis
Data Mining and Constraint Programming
,
303-309
,
2016
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ICON Loop Health Show Case
Barry Hurley 0001
,
Lars Kotthoff
,
Barry O'Sullivan
,
Helmut Simonis
Data Mining and Constraint Programming
,
325-333
,
2016
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Algorithm Selection for Combinatorial Search Problems: A Survey
Lars Kotthoff
Data Mining and Constraint Programming
,
149-190
,
2016
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ICON Loop Carpooling Show Case
Mirco Nanni
,
Lars Kotthoff
,
Riccardo Guidotti
,
Barry O'Sullivan
,
Dino Pedreschi
Data Mining and Constraint Programming
,
310-324
,
2016
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Advanced Portfolio Techniques
Barry Hurley 0001
,
Lars Kotthoff
,
Yuri Malitsky
,
Deepak Mehta
,
Barry O'Sullivan
Data Mining and Constraint Programming
,
191-225
,
2016
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Portfolios of Subgraph Isomorphism Algorithms
Lars Kotthoff
,
Ciaran McCreesh
,
Christine Solnon
LION
,
107-122
,
2016
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On Algorithm Selection, with an application to combinatorial search problems
Lars Kotthoff
Constraints
,
20(4):481-482
,
2015
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ASlib: A Benchmark Library for Algorithm Selection
Bernd Bischl
,
Pascal Kerschke
,
Lars Kotthoff
,
Marius Thomas Lindauer
,
Yuri Malitsky
,
Alexandre Fréchette
,
Holger H. Hoos
,
Frank Hutter
,
Kevin Leyton-Brown
,
Kevin Tierney
,
Joaquin Vanschoren
CoRR
,
abs/1506.02465
,
2015
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ICON Challenge on Algorithm Selection
Lars Kotthoff
CoRR
,
abs/1511.04326
,
2015
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The Inductive Constraint Programming Loop
Christian Bessiere
,
Luc De Raedt
,
Tias Guns
,
Lars Kotthoff
,
Mirco Nanni
,
Siegfried Nijssen
,
Barry O'Sullivan
,
Anastasia Paparrizou
,
Dino Pedreschi
,
Helmut Simonis
CoRR
,
abs/1510.03317
,
2015
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Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection
Lars Kotthoff
,
Pascal Kerschke
,
Holger Hoos
,
Heike Trautmann
LION
,
202-217
,
2015
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Find Your Way Back: Mobility Profile Mining with Constraints
Lars Kotthoff
,
Mirco Nanni
,
Riccardo Guidotti
,
Barry O'Sullivan
CP
,
638-653
,
2015
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Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), Porto, Portugal, September 7th, 2015
Joaquin Vanschoren
,
Pavel Brazdil
,
Christophe G. Giraud-Carrier
,
Lars Kotthoff
1455
,
2015
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Top Tips to Make Your Research Irreproducible
Neil P. Chue Hong
,
Tom Crick
,
Ian P. Gent
,
Lars Kotthoff
,
Kenji Takeda
CoRR
,
abs/1504.00062
,
2015
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Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, MetaSel@ECAI 2014, Prague, Czech Republic, August 19, 2014
Joaquin Vanschoren
,
Pavel Brazdil
,
Carlos Soares
,
Lars Kotthoff
1201
,
2014
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Algorithm Selection for Combinatorial Search Problems: A Survey
Lars Kotthoff
AI Magazine
,
35(3):48-60
,
2014
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Integrating Optimisation And Agent-Based Modelling
Peter George Johnson
,
Tina Balke
,
Lars Kotthoff
ECMS
,
775-781
,
2014
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Ranking Algorithms by Performance
Lars Kotthoff
LION
,
16-20
,
2014
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Algorithm Configuration in the Cloud: A Feasibility Study
Daniel Geschwender
,
Frank Hutter
,
Lars Kotthoff
,
Yuri Malitsky
,
Holger H. Hoos
,
Kevin Leyton-Brown
LION
,
41-46
,
2014
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An Open and Reproducible Paper on Openness and Reproducibility of Papers in Computational Science
Sylwester Arabas
,
Michael R. Bareford
,
Ian P. Gent
,
Benjamin M. Gorman
,
Masih Hajiarabderkani
,
Tristan Henderson
,
Luke Hutton
,
Alexander Konovalov
,
Lars Kotthoff
,
Ciaran McCreesh
,
Ruma R. Paul
,
Karen E. Petrie
,
Abdul Razaq
,
Daniël Reijsbergen
CoRR
,
abs/1408.2123
,
2014
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Towards an Algorithm Selection Standard: Data Format and Tools
Lars Kotthoff
MetaSel@ECAI
,
1
,
2014
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Discriminating Instance Generation for Automated Constraint Model Selection
Ian P. Gent
,
Bilal Syed Hussain
,
Christopher Jefferson
,
Lars Kotthoff
,
Ian Miguel
,
Glenna F. Nightingale
,
Peter Nightingale
CP
,
356-365
,
2014
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Reliability of computational experiments on virtualised hardware
Lars Kotthoff
J. Exp. Theor. Artif. Intell.
,
26(1):33-49
,
2014
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Qualitative modelling via constraint programming
Thomas W. Kelsey
,
Lars Kotthoff
,
Christopher Jefferson
,
Stephen A. Linton
,
Ian Miguel
,
Peter Nightingale
,
Ian P. Gent
Constraints
,
19(2):163-173
,
2014
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Proteus: A Hierarchical Portfolio of Solvers and Transformations
Barry Hurley 0001
,
Lars Kotthoff
,
Yuri Malitsky
,
Barry O'Sullivan
CPAIOR
,
301-317
,
2014
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Web-Scale Distributed eScience AI Search across Disconnected and Heterogeneous Infrastructures
Tom Kelsey
,
Martin McCaffery
,
Lars Kotthoff
eScience
,
39-46
,
2014
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Lazy Branching for Constraint Satisfaction
Deepak Mehta
,
Barry O'Sullivan
,
Lars Kotthoff
,
Yuri Malitsky
ICTAI
,
1012-1019
,
2013
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Proteus: A Hierarchical Portfolio of Solvers and Transformations
Barry Hurley 0001
,
Lars Kotthoff
,
Yuri Malitsky
,
Barry O'Sullivan
CoRR
,
abs/1306.5606
,
2013
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LLAMA: Leveraging Learning to Automatically Manage Algorithms
Lars Kotthoff
CoRR
,
abs/1306.1031
,
2013
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Automated Symmetry Breaking and Model Selection in Conjure
Ozgur Akgun
,
Alan M. Frisch
,
Ian P. Gent
,
Bilal Syed Hussain
,
Christopher Jefferson
,
Lars Kotthoff
,
Ian Miguel
,
Peter Nightingale
CP
,
107-116
,
2013
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Ranking Algorithms by Performance
Lars Kotthoff
CoRR
,
abs/1311.4319
,
2013
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The AAAI-13 Conference Workshops
Vikas Agrawal
,
Christopher Archibald
,
Mehul Bhatt
,
Hung Hai Bui
,
Diane J. Cook
,
Juan Cortés
,
Christopher W. Geib
,
Vibhav Gogate
,
Hans W. Guesgen
,
Dietmar Jannach
,
Michael Johanson
,
Kristian Kersting
,
George Konidaris
,
Lars Kotthoff
,
Martin Michalowski
,
Sriraam Natarajan
,
Barry O'Sullivan
,
Marc Pickett
,
Vedran Podobnik
,
David Poole 0001
,
Lokendra Shastri
,
Amarda Shehu
,
Gita Sukthankar
AI Magazine
,
34(4):9-
,
2013
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An automated approach to generating efficient constraint solvers
Dharini Balasubramaniam
,
Christopher Jefferson
,
Lars Kotthoff
,
Ian Miguel
,
Peter Nightingale
ICSE
,
661-671
,
2012
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An evaluation of machine learning in algorithm selection for search problems
Lars Kotthoff
,
Ian P. Gent
,
Ian Miguel
AI Commun.
,
25(3):257-270
,
2012
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Hybrid Regression-Classification Models for Algorithm Selection
Lars Kotthoff
ECAI
,
480-485
,
2012
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A framework for large-scale distributed AI search across disconnected heterogeneous infrastructures
Lars Kotthoff
,
Tom Kelsey
,
Martin McCaffery
CoRR
,
abs/1209.3487
,
2012
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Qualitative Modelling via Constraint Programming: Past, Present and Future
Thomas W. Kelsey
,
Lars Kotthoff
,
Christopher Jefferson
,
Stephen A. Linton
,
Ian Miguel
,
Peter Nightingale
,
Ian P. Gent
CoRR
,
abs/1209.3916
,
2012
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The Semigroups of Order 10
Andreas Distler
,
Christopher Jefferson
,
Tom Kelsey
,
Lars Kotthoff
CP
,
883-899
,
2012
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Algorithm Selection for Combinatorial Search Problems: A Survey
Lars Kotthoff
CoRR
,
abs/1210.7959
,
2012
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On algorithm selection, with an application to combinatorial search problems
Lars Kotthoff
University of St Andrews, UK
,
2012
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Modelling Constraint Solver Architecture Design as a Constraint Problem
Ian P. Gent
,
Christopher Jefferson
,
Lars Kotthoff
,
Ian Miguel
CoRR
,
abs/1110.6290
,
2011
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Dominion: An Architecture-Driven Approach to Generating Efficient Constraint Solvers
Dharini Balasubramaniam
,
Lakshitha de Silva
,
Christopher Jefferson
,
Lars Kotthoff
,
Ian Miguel
,
Peter Nightingale
WICSA
,
228-231
,
2011
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Reliability of Computational Experiments on Virtualised Hardware
Ian P. Gent
,
Lars Kotthoff
CoRR
,
abs/1110.6288
,
2011
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Exact Closest String as a Constraint Satisfaction Problem
Tom Kelsey
,
Lars Kotthoff
ICCS
,
1062-1071
,
2011
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Reliability of Computational Experiments on Virtualised Hardware
Ian P. Gent
,
Lars Kotthoff
AI for Data Center Management and Cloud Computing
,
2011
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A Preliminary Evaluation of Machine Learning in Algorithm Selection for Search Problems
Lars Kotthoff
,
Ian P. Gent
,
Ian Miguel
SOCS
,
2011
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Learning When to Use Lazy Learning in Constraint Solving
Ian P. Gent
,
Christopher Jefferson
,
Lars Kotthoff
,
Ian Miguel
,
Neil C. A. Moore
,
Peter Nightingale
,
Karen E. Petrie
ECAI
,
873-878
,
2010
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Ensemble Classification for Constraint Solver Configuration
Lars Kotthoff
,
Ian Miguel
,
Peter Nightingale
CP
,
321-329
,
2010
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Using machine learning to make constraint solver implementation decisions
Lars Kotthoff
,
Ian P. Gent
,
Ian Miguel
CoRR
,
abs/1005.3502
,
2010
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Machine learning for constraint solver design -- A case study for the alldifferent constraint
Ian P. Gent
,
Lars Kotthoff
,
Ian Miguel
,
Peter Nightingale
CoRR
,
abs/1008.4326
,
2010
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The Exact Closest String Problem as a Constraint Satisfaction Problem
Tom Kelsey
,
Lars Kotthoff
CoRR
,
abs/1005.0089
,
2010
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Constraint solvers: An empirical evaluation of design decisions
Lars Kotthoff
CoRR
,
abs/1002.0134
,
2010
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Dominion -- A constraint solver generator
Lars Kotthoff
CoRR
,
abs/1002.0136
,
2010
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Distributed solving through model splitting
Lars Kotthoff
,
Neil C. A. Moore
CoRR
,
abs/1008.4328
,
2010