Výsledky vyhľadávania - positive selection algorithm and negative selection algorithm

Use The Positive Selection Algorithm and The Negative Selection Algorithm in The English Character Recognition Autor Maha A.M. Hassan, Noura Abdel Fattah, Maha H. Najam, Nour S. Shiban

“… (positive selection algorithm and negative selection algorithm). Through these two algorithms, it is distinguished between the original and distorted English letters…”
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Negative Selection Algorithm Based on Antigen Density Clustering Autor Yang, Chao, Jia, Lin, Chen, Bing-Qiu, Wen, Hai-Yang

“…The negative selection algorithm (NSA) is one of the basic algorithms of the artificial immune system…”
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A Novel Negative and Positive Selection Algorithm to Detect Unknown Malware in the IoT Autor Alrubayyi, Hadeel, Goteng, Gokop, Jaber, Mona, Kelly, James

“… This paper proposes the Negative-Positive-Selection (NPS) method which uses an artificial immunity system technique for malware detection…”
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A novel oversampling and feature selection hybrid algorithm for imbalanced data classification Autor Feng, Fang, Li, Kuan-Ching, Yang, Erfu, Zhou, Qingguo, Han, Lihong, Hussain, Amir, Cai, Mingjiang

“… To this end, this article presents a novel hybrid algorithm Negative Binary General (NBG), to improve the performance of imbalanced classifications by combining oversampling and a feature selection algorithm…”
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Novel Feature Selection and Voting Classifier Algorithms for COVID-19 Classification in CT Images Autor El-Kenawy, El-Sayed M., Ibrahim, Abdelhameed, Mirjalili, Seyedali, Eid, Marwa Metwally, Hussein, Sherif E.

“… Machine Learning techniques have the potential to overcome this challenge. This article proposes two optimization algorithms for feature selection and classification of COVID-19…”
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Integrated Negative Selection Algorithm and Positive Selection Algorithm for malware detection Autor Fuyong Zhang, Ying Ma

“… Integrated Negative Selection Algorithm (NSA) and Positive Selection Algorithm (PSA), through a selection of n-gram sequences which only exist in malware IRP sequences, we have more…”
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An algorithm for detecting directional and non-directional positive selection, neutrality and negative selection in protein coding DNA sequences Autor Creevey, Christopher J., McInerney, James O.

“…Positive selection or adaptive evolution is thought to be responsible, at least some of the time, for the rapid accumulation of advantageous changes in protein-coding genes…”
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Bankruptcy prediction on the base of the unbalanced data using multi-objective selection of classifiers Autor Zelenkov, Yuri, Volodarskiy, Nikita

“… To do it, we propose to consider the classification as a multi-objective optimization problem and construct a prediction model as an ensemble while minimizing the parameters FPR (False Positive Rate) and FNR (False Negative Rate) at the same time…”
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The Hybrid Feature Selection Algorithm Based on Maximum Minimum Backward Selection Search Strategy for Liver Tissue Pathological Image Classification Autor Liu, Huiling, Zheng, Ruiping, Jiang, Huiyan

“… To improve the efficiency of feature selection, the same feature values of positive and negative samples are removed in rough selection…”
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Negative Selection Algorithm for Unsupervised Anomaly Detection Autor Bereta, Michał

“…In this work, we present a modification of the well-known Negative Selection Algorithm (NSA…”
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A comparison of negative and positive selection algorithms in novel pattern detection Autor Dasgupta, D., Nino, F.

“…This paper describes a technique based on immunological principles for novel (anomalous) pattern detection. It is a probabilistic method that uses a negative selection scheme…”
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Relevant and Non-Redundant Feature Selection for Cancer Classification and Subtype Detection Autor Rana, Pratip, Thai, Phuc, Dinh, Thang, Ghosh, Preetam

“… Researchers also apply various column subset selection algorithms on genomics datasets for a similar purpose…”
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A general approach for selection of epitope-directed binders to proteins Autor Zhou, Jie, Le, Chau Q, Zhang, Yun, Wells, James A

“… Using several alternating rounds of negative selection with the EOI decoy variant followed by positive selection on the wild-type POI, we were able to identify highly specific and potent antibodies…”
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Boruta algorithm–guided antibiotic selection in antibiotic-loaded bone cement for diabetic foot ulcers: microbiota and susceptibility analysis Autor Zhang, Yi, Sun, Xingyu, Wu, Maochun, Tang, Xin

“… For drug susceptibility test results, we first screened the antibiotics by using the Boruta algorithm prediction model and then performed…”
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Multi-Label Feature Selection via Positive or Negative Correlation Autor Lin, Yaojin, He, Zhuoxin, Guo, Lei, Ding, Weiping

“… For this reason, a new correlation, called positive or negative correlation, is proposed. Furthermore, in many existing multi-label feature selection algorithms, each feature…”
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A method for the optimum selection of datacenters in geographically distributed clouds Autor Ziafat, Hassan, Babamir, Seyed Morteza

“…The optimal selection of a datacenter is one of the most important challenges in the structure of a network for the wide distribution of resources in the environment of a geographically distributed cloud…”
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Fault Detection and Isolation Based on Artificial Immune System for Injection Molding Machine Autor Ren, Yanheng, Wang, Xianghua, Zhang, Chunming, Gao, Yuxia

“… These binary strings are called as self-strings. Based on the self-strings, the negative selection algorithm is combined with the clonal selection algorithm to generate a fault detector, which is used for fault detection…”
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DE-PSA: Learning from unlabeled data by dual-stage label propagation for positive selection algorithm Autor Chen, Wen, Yang, Yiyao, Liu, Liang

“… Traditional immune detector generation algorithms adopt supervised learning paradigm, relying on a large number of labeled samples to fully train the candidate detectors…”
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Causal Feature Selection With Dual Correction Autor Guo, Xianjie, Yu, Kui, Liu, Lin, Cao, Fuyuan, Li, Jiuyong

“…), CI tests can be unreliable; thus, causal feature selection algorithms relying on CI tests encounter two types of errors: false positives (i.e…”
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Modelling environmental DNA data; Bayesian variable selection accounting for false positive and false negative errors Autor Griffin, Jim E., Matechou, Eleni, Buxton, Andrew S., Bormpoudakis, Dimitrios, Griffiths, Richard A.

“… Environmental DNA methodology is known to be prone to false negative and false positive errors at the data collection and laboratory analysis stages…”
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