Results 11 to 20 of about 49,706 (120)

An Improved CURE Algorithm [PDF]

open access: yes, 2018
CURE algorithm is an efficient hierarchical clustering algorithm for large data sets. This paper presents an improved CURE algorithm, named ISE-RS-CURE. The algorithm adopts a sample extraction algorithm combined with statistical ideas, which can reasonably select sample points according to different data densities and can improve the representation of
Mingjuan Cai, Yongquan Liang 0001
openaire   +2 more sources

Improving the Expected Improvement Algorithm

open access: yesCoRR, 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
openaire   +3 more sources

Improved multiboson algorithm [PDF]

open access: yesNuclear Physics B - Proceedings Supplements, 2000
LATTICE99(Algorithms), 3 pages, LaTeX with 4 ps figures, espcrc2 ...
ALEXANDROU C   +3 more
openaire   +3 more sources

An improvement of a cryptanalysis algorithm [PDF]

open access: yesInformation Processing Letters, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Oualid Benamara   +2 more
openaire   +2 more sources

TMO: time and memory optimized algorithm applicable for more accurate alignment of trinucleotide repeat disorders associated genes

open access: yesBiotechnology & 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
doaj   +1 more source

Reactive Reinforcement Learning in Asynchronous Environments

open access: yesFrontiers 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
doaj   +1 more source

An Improved QSPR Modeling of Hydrocarbon Dipole Moments

open access: yesThe 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
doaj   +1 more source

Methane Detection Based on Improved Chicken Algorithm Optimization Support Vector Machine

open access: yesApplied 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
doaj   +1 more source

Designing LED array for uniform illumination based on local search algorithm [PDF]

open access: yesJournal 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.
doaj   +1 more source

Algorithm for Improved QPE over Complex Terrain Using Cloud-to-Ground Lightning Occurrences

open access: yesAtmosphere, 2019
Lightning and deep convective precipitation have long been studied as closely linked variables, the former being viewed as a proxy, or estimator, of the latter.
Carlos Minjarez-Sosa   +3 more
doaj   +1 more source

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