Works matching IS 19994893 AND DT 2018 AND VI 11 AND IP 9
Results: 14
Estimating the Volume of the Solution Space of SMT(LIA) Constraints by a Flat Histogram Method.
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- Algorithms, 2018, v. 11, n. 9, p. 142, doi. 10.3390/a11090142
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Generalized Paxos Made Byzantine (and Less Complex) †.
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- Algorithms, 2018, v. 11, n. 9, p. 141, doi. 10.3390/a11090141
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Complexity of Hamiltonian Cycle Reconfiguration.
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- Algorithms, 2018, v. 11, n. 9, p. 140, doi. 10.3390/a11090140
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An Auto-Adjustable Semi-Supervised Self-Training Algorithm.
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- Algorithms, 2018, v. 11, n. 9, p. 139, doi. 10.3390/a11090139
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Are Markets Truly Efficient? Experiments Using Deep Learning Algorithms for Market Movement Prediction.
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- Algorithms, 2018, v. 11, n. 9, p. 138, doi. 10.3390/a11090138
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Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation.
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- Algorithms, 2018, v. 11, n. 9, p. 137, doi. 10.3390/a11090137
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Mixed Order Fractional Observers for Minimal Realizations of Linear Time-Invariant Systems.
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- Algorithms, 2018, v. 11, n. 9, p. 136, doi. 10.3390/a11090136
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Multiple Attribute Decision-Making Method Using Linguistic Cubic Hesitant Variables.
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- Algorithms, 2018, v. 11, n. 9, p. 135, doi. 10.3390/a11090135
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Multi-Level Elasticity for Wide-Area Data Streaming Systems: A Reinforcement Learning Approach.
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- Algorithms, 2018, v. 11, n. 9, p. 134, doi. 10.3390/a11090134
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A Modified Sufficient Descent Polak–Ribiére–Polyak Type Conjugate Gradient Method for Unconstrained Optimization Problems.
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- Algorithms, 2018, v. 11, n. 9, p. 133, doi. 10.3390/a11090133
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Study of Precipitation Forecast Based on Deep Belief Networks.
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- Algorithms, 2018, v. 11, n. 9, p. 132, doi. 10.3390/a11090132
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An Efficient Algorithm to Determine Probabilistic Bisimulation.
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- Algorithms, 2018, v. 11, n. 9, p. 131, doi. 10.3390/a11090131
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Numerical Modeling of Wave Disturbances in the Process of Ship Movement Control.
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- Algorithms, 2018, v. 11, n. 9, p. 130, doi. 10.3390/a11090130
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The Fast Detection and Identification Algorithm of Optical Fiber Intrusion Signals.
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- Algorithms, 2018, v. 11, n. 9, p. 129, doi. 10.3390/a11090129
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- Article