بدائل البحث:
modelling algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
modelling algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
-
1
-
2
Bird’s Eye View feature selection for high-dimensional data
منشور في 2023"…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"
-
3
A neural networks algorithm for data path synthesis
منشور في 2003"…The algorithm is driven by a motion equation that determines the neurons firing conditions based on the modified Hopfield neural network model of computation. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
4
Allocating data to distributed-memory multiprocessors by genetic algorithms
منشور في 2016"…We present three genetic algorithms (GAs) for allocating irregular data sets to multiprocessors. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
5
Variable Selection in Data Analysis: A Synthetic Data Toolkit
منشور في 2024"…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …"
احصل على النص الكامل
article -
6
Parallel physical optimization algorithms for allocating data to multicomputer nodes
منشور في 1994"…The parallel genetic algorithm (PGA) is based on a natural model of evolution. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
7
Physical optimization algorithms for mapping data to distributed-memory multiprocessors
منشور في 1992"…PGA has excellent speed-ups by virtue of the natural evolution model on which it is based. PSA and PNN include communication schemes adapted to the properties of the mapping problem and of the algorithms themselves for reducing the communication overhead. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
8
Efficient Approximate Conformance Checking Using Trie Data Structures
منشور في 2021الموضوعات: "…Estimation error,Runtime,Computational modeling,Data structures,Approximation algorithms,Encoding,Computational efficiency…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
-
9
-
10
Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm
منشور في 2024"…This article outlines the input data and partial shading conditions employed in the replication model of Sequential Monte Carlo (SMC)-based tracking techniques for photovoltaic (PV) systems. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
11
An Effective Hash Based Assessment and Recovery Algorithm for Healthcare Systems
منشور في 2019"…Finally, the experimental results prove the improvements provided by our hash based algorithm over previously suggested models.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
12
Auto-indexing Arabic texts based on association rule data mining. (c2015)
منشور في 2015"…In this work, we propose a new model to enhance auto-indexing Arabic texts. Our model denotes extracting new relevant words by relating those chosen by the previous classical methods, to new words using data mining rules. …"
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
13
-
14
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
منشور في 2024"…<p>Feature selection (FS) is a crucial technique in machine learning and data mining, serving a variety of purposes such as simplifying model construction, facilitating knowledge discovery, improving computational efficiency, and reducing memory consumption. …"
-
15
-
16
-
17
GenDE: A CRF-Based Data Extractor
منشور في 2020"…The experiments show an encouraging result as it outperforms the CSP-based extractor algorithm (95% and 96% of recall and precision, respectively). …"
احصل على النص الكامل
احصل على النص الكامل
-
18
-
19
-
20