Suchergebnisse - Algorithm combining and selection

Combination of Video Change Detection Algorithms by Genetic Programming von Bianco, Simone, Ciocca, Gianluigi, Schettini, Raimondo

“… Within the field of computer vision, change detection algorithms aim at automatically detecting significant changes occurring in a scene by analyzing the sequence of frames in a video stream …”
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A hybrid feature selection algorithm combining information gain and grouping particle swarm optimization for cancer diagnosis von Yang, Fangyuan, Xu, Zhaozhao, Wang, Hong, Sun, Lisha, Zhai, Mengjiao, Zhang, Juan

“… Based on this, this paper proposes a hybrid feature selection algorithm combining information gain and grouping particle swarm optimization (IG-GPSO …”
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Novel noninvasive embryo selection algorithm combining time-lapse morphokinetics and oxidative status of the spent embryo culture medium von Alegre, Lucía, Del Gallego, Raquel, Arrones, Sarai, Hernández, Purificación, Muñoz, Manuel, Meseguer, Marcos

“… To develop a noninvasive embryo selection algorithm consisting of time-lapse morphokinetics and the oxidative status of the spent embryo culture medium determined using the Thermochemiluminescence (TCL) Analyzer …”
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A new feature selection algorithm combining genetic algorithm, exponential decay function, and machine learning to realize hyperspectral estimation of winter wheat leaf area index von Yang, Chenbo, Bai, Juan, Sun, Hui, Bi, Rutian, Song, Lifang, Muhammad, Amjad, Wang, Chao, Zhao, Yu, Yang, Wude, Xiao, Lujie, Zhang, Meijun, Song, Xiaoyan, Feng, Meichen

“… Screening hyperspectral information is an important direction in hyperspectral research. Genetic algorithm (GA) is a commonly used variable selection method …”
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A meta-heuristic feature selection algorithm combining random sampling accelerator and ensemble using data perturbation von Zhang, Shuaishuai, Liu, Keyu, Xu, Taihua, Yang, Xibei, Zhang, Ao

“… Meta-heuristic algorithms have been extensively utilized in feature selection tasks because they can obtain the global optimal solution …”
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Algorithm selection and combining multiple learners for residential energy prediction von Güngör, Onat, Akşanlı, Barış, Aydoğan, Reyhan

“… Accordingly, we first introduce an algorithm selection approach, which identifies the best prediction algorithm for the given residence with respect to its characteristics such as number of people …”
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A novel method combining deep learning with the Kennard–Stone algorithm for training dataset selection for image‐based rice seed variety identification von Jin, Chen, Zhou, Xinyue, He, Mengyu, Li, Cheng, Cai, Zeyi, Zhou, Lei, Qi, Hengnian, Zhang, Chu

“… ‐resolution dataset demonstrated superior performance to that of the model using the low‐resolution dataset. A novel training sample selection methodology was introduced integrating deep learning with the Kennard …”
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A hybrid feature selection algorithm combining information gain and genetic search for intrusion detection von Liu, Yingshang, Liang, Shouyu, Fang, Wenchong, Zhou, Zhifeng, Hu, Rong, Zhou, Huafeng, Hou, Jian, Wang, Yichang

“… Therefore, a hybrid feature selection algorithm which combines information gain and genetic search to improve the work efficiency of intrusion detection systems is proposed …”
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Gene selection algorithm by combining reliefF and mRMR von Zhang, Yi, Ding, Chris, Li, Tao

“… In this paper, we present a two-stage selection algorithm by combining ReliefF and mRMR: In the first stage, ReliefF is applied to find a candidate gene set …”
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Super node selection algorithm combining reputation and capability model in P2P streaming media network von Rongfei, M. A.

“… Aiming at the characteristics of P2P system, a selection method combining node reputation and service capability is proposed …”
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A novel framework combining band selection algorithm and improved 3D prototypical network for tree species classification using airborne hyperspectral images von Wu, Jing, Chen, Long, Wang, Jiaqi, Li, Yunfan, Chen, Erxue, Zhang, Xiaoli

“… •The FAST 3D-CNN P-Net method can improve the feature extraction process.•The CNN-based band selection algorithm performs better in dimensionality reduction …”
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A hybrid feature selection algorithm combining information gain and grouping particle swarm optimization for cancer diagnosis von Fangyuan Yang, Zhaozhao Xu, Hong Wang, Lisha Sun, Mengjiao Zhai, Juan Zhang

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Two Novel Instance Selection Methods Combining Algorithm Performance and Landscape Analysis: A Comparative Study in Continuous Optimization von Stripinis, Linas, Kudela, Jakub, Paulavicius, Remigijus

“… In this article, we focus on instance selection methods, which aim to choose representative problems for evaluating algorithm performance …”
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Combining the genetic algorithm and successive projection algorithm for the selection of feature wavelengths to evaluate exudative characteristics in frozen–thawed fish muscle von Cheng, Jun-Hu, Sun, Da-Wen, Pu, Hongbin

“… ) models were established using five key wavelengths, selected by combining a genetic algorithm and successive projections algorithm, and this showed satisfactory performance in drip loss prediction …”
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A feature selection algorithm combining information gain and multi-objective genetic search for intrusion detection system von Xie, Tao

“… In order to improve the detection rate and speed of intrusion detection system, this paper proposes a feature selection algorithm …”
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Combining prior knowledge with input selection algorithms for quantitative analysis using neural networks in laser induced breakdown spectroscopy von Luarte, Danny, Myakalwar, Ashwin Kumar, Velásquez, Marizú, Álvarez, Jonnathan, Sandoval, Claudio, Fuentes, Rodrigo, Yañez, Jorge, Sbarbaro, Daniel

“… This work presents a systematic methodology based on the Akaike information criterion (AIC) for selecting the wavelengths of LIBS spectra as well as the ANN model complexity, by combining prior knowledge and variable selection algorithms …”
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Feature selection combining genetic algorithm and Adaboost classifiers von Chouaib, H., Terrades, O.R., Tabbone, S., Cloppet, F., Vincent, N.

“… This paper presents a fast method using simple genetic algorithms (GAs) for features selection …”
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Estimation of soil organic carbon content by Vis-NIR spectroscopy combining feature selection algorithm and local regression method von Baoyang Liu, Baofeng Guo, Renxiong Zhuo, Fan Dai

“… In addition, when the genetic algorithm is utilized for spectral feature selection, we obtained a more representative spectral subset through a novel coding approach …”
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Support vector regression optimized by black widow optimization algorithm combining with feature selection by MARS for mining blast vibration prediction von Xu, Guoquan, Wang, Xinyu

“… •Feature selection is performed based on multivariate adaptive regression splines.•Using a black widow optimization algorithm for hyperparameter optimization …”
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Remora Optimization Algorithm Combining Joint Opposite Selection and Host Switching von JIA Heming, WEN Changsheng, WU Di, RAO Honghua, LIU Qingxin, LI Shanglong

“… At the same time, through adding joint opposite selection strategy, the ability of the algorithm to jump out …”
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