Results 11 to 20 of about 47,244 (120)
Self-Improving Algorithms [PDF]
SIAM Journal on Computing, 2011 We investigate ways in which an algorithm can improve its expected performance by fine-tuning itself automatically with respect to an unknown input distribution D. We assume here that D is of product type. More precisely, suppose that we need to process a sequence I_1, I_2, ...
Nir Ailon +5 more
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Improving the Expected Improvement Algorithm
CoRR, 2017 The expected improvement (EI) algorithm is a popular strategy for information collection in optimization under uncertainty. The algorithm is widely known to be too greedy, but nevertheless enjoys wide use due to its simplicity and ability to handle uncertainty and noise in a coherent decision theoretic framework. To provide rigorous insight into EI, we
Chao Qin +2 more
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Improved multiboson algorithm [PDF]
Nuclear Physics B - Proceedings Supplements, 2000 LATTICE99(Algorithms), 3 pages, LaTeX with 4 ps figures, espcrc2 ...
ALEXANDROU C +3 more
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An improvement of a cryptanalysis algorithm [PDF]
Information Processing Letters, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Oualid Benamara +2 more
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Reactive Reinforcement Learning in Asynchronous Environments
Frontiers in Robotics and AI, 2018 The relationship between a reinforcement learning (RL) agent and an asynchronous environment is often ignored. Frequently used models of the interaction between an agent and its environment, such as Markov Decision Processes (MDP) or Semi-Markov Decision
Jaden B. Travnik +6 more
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Biotechnology & Biotechnological Equipment, 2016 In this study, time and memory optimized (TMO) algorithm is presented. Compared with Smith–Waterman's algorithm, TMO is applicable for a more accurate detection of continuous insertion/deletions (indels) in genes’ fragments, associated with disorders ...
Done Stojanov +2 more
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An Improved QSPR Modeling of Hydrocarbon Dipole Moments
The Scientific World Journal, 2004 Dipole moments of hydrocarbons are not an easy property to model with conventional 2D descriptors. A comparison of the performance of the most commonly used sets of topological descriptors is presented, each set containing descriptors derived from the ...
Igor V. Nesterov +3 more
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Methane Detection Based on Improved Chicken Algorithm Optimization Support Vector Machine
Applied Sciences, 2019 Methane, known as a flammable and explosion hazard gas, is the main component of marsh gas, firedamp, and rock gas. Therefore, it is important to be able to detect methane concentration safely and effectively.
Zhifang Wang +3 more
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Designing LED array for uniform illumination based on local search algorithm [PDF]
Journal of the European Optical Society-Rapid Publications, 2014 We propose a numerical optimization method based on local search algorithm to design an LED array for a highly uniform illumination distribution. In the first place, an initial LED array is randomly generated and the corresponding value of the objective ...
Lei P., Wang Q., Zou H.
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Dynamic Path Planning for Forklift AGV Based on Smoothing A* and Improved DWA Hybrid Algorithm
Sensors, 2022 FAGV is a kind of heavy equipment in the storage environment. Its path needs to be simple and smooth and should be able to avoid sudden obstacles in the process of driving.
Bin Wu +5 more
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