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A Neural Network Model for Inter-problem Adaptive Online Time Allocation

https://doi.org/10.1007/11550907_2
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0471725234openalex-snapshot
Applied Life Data Analysis
inferredcites →https://doi.org/10.1007/978-3-540-30115-8_15openalex-snapshot
Adaptive Online Time Allocation to Search Algorithms
inferredcites →https://doi.org/10.1007/b100702openalex-snapshot
Machine Learning: ECML 2004: 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004, Proceedings
inferredcites →https://doi.org/10.1016/s0004-3702(00)00081-3openalex-snapshot
Algorithm portfolios
inferredcites →https://doi.org/10.1023/a:1007383707642openalex-snapshot
Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement
inferredcites →https://doi.org/10.1023/a:1019956318069openalex-snapshot
A Perspective View and Survey of Meta-Learning
inferredcites →https://doi.org/10.1023/a:1022687019898openalex-snapshot
Editorial: On Machine Learning
inferredcites →https://doi.org/10.1093/oso/9780198538493.001.0001openalex-snapshot
Neural Networks for Pattern Recognition
inferredcites →https://doi.org/10.1145/3512290openalex-snapshot
Proceedings of the Genetic and Evolutionary Computation Conference
inferredcites →https://doi.org/10.1162/neco.1991.3.1.79openalex-snapshot
Adaptive Mixtures of Local Experts
inferredcites →https://doi.org/10.2307/2288691openalex-snapshot
Applied Life Data Analysis.
inferredcites →https://doi.org/10.48550/arxiv.1301.2279openalex-snapshot
A Bayesian Approach to Tackling Hard Computational Problems
inferredcites →https://doi.org/10.5860/choice.31-5500openalex-snapshot
Neural networks for pattern recognition
inferredcites →https://doi.org/10.7551/mitpress/1090.001.0001openalex-snapshot
Adaptation in Natural and Artificial Systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/11889205_14openalex-snapshot
Impact of Censored Sampling on the Performance of Restart Strategies
inferred← citeshttps://doi.org/10.1007/978-3-319-09584-4_1openalex-snapshot
Algorithm Portfolios for Noisy Optimization: Compare Solvers Early
inferred← citeshttps://doi.org/10.1007/978-3-319-50137-6_7openalex-snapshot
Algorithm Selection for Combinatorial Search Problems: A Survey
inferred← citeshttps://doi.org/10.1007/978-3-642-13800-3_7openalex-snapshot
Algorithm Selection as a Bandit Problem with Unbounded Losses
inferred← citeshttps://doi.org/10.1007/s10472-006-9036-zopenalex-snapshot
Learning dynamic algorithm portfolios
inferred← citeshttps://doi.org/10.1007/s10472-011-9228-zopenalex-snapshot
Algorithm portfolio selection as a bandit problem with unbounded losses
inferred← citeshttps://doi.org/10.1007/s10472-015-9486-2openalex-snapshot
Algorithm portfolios for noisy optimization
inferred← citeshttps://doi.org/10.1080/17445760.2022.2088746openalex-snapshot
Time management in a chess game through machine learning
inferred← citeshttps://doi.org/10.1109/cec.2015.7257007openalex-snapshot
Experiments on the CEC 2015 expensive optimization testbed
inferred← citeshttps://doi.org/10.1109/jiot.2018.2845340openalex-snapshot
Unsupervised Feature Learning From Time-Series Data Using Linear Models
inferred← citeshttps://doi.org/10.1109/pads.2010.5471673openalex-snapshot
Selecting Simulation Algorithm Portfolios by Genetic Algorithms
inferred← citeshttps://doi.org/10.1609/aaai.v35i14.17473openalex-snapshot
Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions
inferred← citeshttps://doi.org/10.48550/arxiv.1210.7959openalex-snapshot
Algorithm Selection for Combinatorial Search Problems: A Survey
inferred← citeshttps://doi.org/10.70675/51dc2660zd1cdz445bzb3abz8bba778dc25fopenalex-snapshot
Uncertainties in Optimization
inferred← citeshttps://doi.org/10.70675/5d43ac4dz7c5az4eaeza410z228ff663c911openalex-snapshot
Studies on Stochastic Optimisation and applications to the Real-World
inferred← citeshttps://doi.org/10.70675/608cd64fz6bdez4428zb3eczdb2d8b8ed277openalex-snapshot
Portfolio Methods in Uncertain Contexts
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