scientific article; zbMATH DE number 7255109
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Publication:4969139
zbMath1498.68257MaRDI QIDQ4969139
Publication date: 5 October 2020
Full work available at URL: https://jmlr.csail.mit.edu/papers/v21/16-543.html
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neural networkscombinatorial optimizationestimation of distribution algorithmoverfittingdenoising autoencoder
Learning and adaptive systems in artificial intelligence (68T05) Stochastic programming (90C15) Approximation methods and heuristics in mathematical programming (90C59) Combinatorial optimization (90C27)
Cites Work
- Design of modern heuristics. Principles and application.
- Hierarchical Bayesian optimization algorithm. Toward a new generation of evolutionary algorithms. With a foreword by David E. Goldberg
- Towards a new evolutionary computation. Advances on estimation of distribution algorithms.
- Combining variable neighborhood search and estimation of distribution algorithms in the protein side chain placement problem
- Estimating the dimension of a model
- Scalability of using restricted Boltzmann machines for combinatorial optimization
- Reducing the Dimensionality of Data with Neural Networks
- Learning Deep Architectures for AI
- Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles
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