متابعة
Lars Kotthoff
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Automated machine learning: methods, systems, challenges‏
F Hutter, L Kotthoff, J Vanschoren‏
Springer Nature, 2019‏
22982019
Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA‏
L Kotthoff, C Thornton, HH Hoos, F Hutter, K Leyton-Brown‏
Journal of Machine Learning Research 18 (25), 1-5, 2017‏
10302017
mlr: Machine Learning in R‏
B Bischl, M Lang, L Kotthoff, J Schiffner, J Richter, E Studerus, ...‏
Journal of Machine Learning Research 17 (170), 1-5, 2016‏
9782016
Algorithm selection for combinatorial search problems: A survey‏
L Kotthoff‏
Data mining and constraint programming: Foundations of a cross-disciplinary …, 2016‏
4932016
mlr3: A modern object-oriented machine learning framework in R‏
M Lang, M Binder, J Richter, P Schratz, F Pfisterer, S Coors, Q Au, ...‏
Journal of Open Source Software 4 (44), 1903, 2019‏
3692019
Aslib: A benchmark library for algorithm selection‏
B Bischl, P Kerschke, L Kotthoff, M Lindauer, Y Malitsky, A Fréchette, ...‏
Artificial Intelligence 237, 41-58, 2016‏
3082016
An evaluation of machine learning in algorithm selection for search problems‏
L Kotthoff, IP Gent, I Miguel‏
Ai Communications 25 (3), 257-270, 2012‏
1062012
Leveraging TSP solver complementarity through machine learning‏
P Kerschke, L Kotthoff, J Bossek, HH Hoos, H Trautmann‏
Evolutionary computation 26 (4), 597-620, 2018‏
992018
Fselector: selecting attributes‏
P Romanski, L Kotthoff‏
Vienna: R Foundation for Statistical Computing, 2009‏
962009
Proteus: A hierarchical portfolio of solvers and transformations‏
B Hurley, L Kotthoff, Y Malitsky, B O’Sullivan‏
Integration of AI and OR Techniques in Constraint Programming: 11th …, 2014‏
902014
Machine-learning-assisted fabrication: Bayesian optimization of laser-induced graphene patterning using in-situ Raman analysis‏
H Wahab, V Jain, AS Tyrrell, MA Seas, L Kotthoff, PA Johnson‏
Carbon 167, 609-619, 2020‏
862020
Improving the state of the art in inexact TSP solving using per-instance algorithm selection‏
L Kotthoff, P Kerschke, H Hoos, H Trautmann‏
Learning and Intelligent Optimization: 9th International Conference, LION 9 …, 2015‏
822015
The Algorithm Selection Competition Series 2015-17‏
M Lindauer, JN van Rijn, L Kotthoff‏
arXiv preprint arXiv:1805.01214, 2018‏
78*2018
Package ‘FSelector’‏
P Romanski, L Kotthoff, ML Kotthoff‏
URL http://cran/r-project. org/web/packages/FSelector/index. html, 2013‏
582013
Learning when to use lazy learning in constraint solving‏
IP Gent, C Jefferson, L Kotthoff, I Miguel, NCA Moore, P Nightingale, ...‏
ECAI 2010, 873-878, 2010‏
572010
Portfolios of subgraph isomorphism algorithms‏
L Kotthoff, C McCreesh, C Solnon‏
International Conference on Learning and Intelligent Optimization, 107-122, 2016‏
542016
LLAMA: leveraging learning to automatically manage algorithms‏
L Kotthoff‏
arXiv preprint arXiv:1306.1031, 2013‏
522013
Using the shapley value to analyze algorithm portfolios‏
A Fréchette, L Kotthoff, T Michalak, T Rahwan, H Hoos, K Leyton-Brown‏
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016‏
512016
A preliminary evaluation of machine learning in algorithm selection for search problems‏
L Kotthoff, I Gent, I Miguel‏
Proceedings of the International Symposium on Combinatorial Search 2 (1), 84-91, 2011‏
422011
Automated Symmetry Breaking and Model Selection in Conjure‏
O Akgun, AM Frisch, IP Gent, BS Hussain, C Jefferson, L Kotthoff, I Miguel, ...‏
Principles and Practice of Constraint Programming: 19th International …, 2013‏
412013
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مقالات 1–20