The backtrack Hölder gradient method with application to min-max and min-min problems by Bolte, Jérôme, Glaudin, Lilian, Pauwels, Edouard, Serrurier, Mathieu

“…We present a new algorithm to solve min-max or min-min problems out of the convex world. We use rigidity assumptions, ubiquitous in learning, making our method – the backtrack Hölder algorithm applicable to many optimization problems. …”
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Reception of Alexander Herzen’s ‘My Past and Thoughts’ in China: Problems of Study and Influence by Panxin Ji, Lulu Zhou

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A Novel Fuzzy Kernel Extreme Learning Machine Algorithm in Classification Problems by Asli Kaya Karakutuk, Ozer Ozdemir

“…Today, numerous methods have been developed to address various problems, each with its own advantages and limitations. …”
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Reading Social Policy from Polanyi’s Perspective: Problem of the Market, Wealth, and Labor by Abdülkadir Şenkal

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Branch and Bound Algorithm for the Traveling Salesman Problem is not a Direct Type Algorithm by Aleksandr N. Maksimenko

“…A direct type algorithm is a linear decision tree with some special properties. the concept of a direct type algorithm is determined using the graph of solutions of a combinatorial optimization problem. e vertices of this graph are all feasible solutions of a problem. …”
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Overcoming the problem of cultural untranslatability in Burnett’s the secret garden from English into Indonesian by Nadia Khumairo Ma'shumah, Sajarwa Sajarwa

“…As a result, to overcome the problem of cultural untranslatability, the translator frequently employs transference, naturalization, and notes procedures. …”
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DYNAMICS OF VITAL VALUES OF ADOLESCENTS AND A PROBLEM OF CORRUPTION IN POST-SOVIET RUSSIA by Pyotr N. Kondrashov

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A binary grasshopper optimization algorithm for solving uncapacitated facility location problem by Ahmet Babalik, Aybuke Babadag

“…In the literature, although some binary versions of the GOA algorithm have been used to solve problems such as feature selection, knapsack, scheduling and cluster covering, its performance analysis has not been conducted on UFLP which is pure binary optimization problem. …”
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Features of the credit risk management of commercial banks in Russia in terms of financial instability

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Development and investigation of parallel model of bee colony algorithms for cryptanalysis problem solving by Yury O Chernyshev, Alexander S Sergeev, Alexander N Ryazanov, Evgeny O. Dubrov

“…The research area of “natural calculation” is now widely used for the solution to optimization NP-complete problems including combinatorial tasks of cryptanalysis. …”
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Regional features of electrocardiostimulation: some results and resource search (Mordovia population example) by A. A. Alexandrovsky, M. D. Romanov, M. Yu. Morozov, E. V. Kolpakov, T. A. Kuznechik, A. V. Ryndina

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Sparse Linear Discriminant Analysis With Constant Between-Class Distance for Feature Selection by Shuangle Guo, Yongxia Li, Jianguang Zhang, Yue Liu, Tian Tian, Mengchen Guo

“…This model first transforms TR-LDA into a non-trace ratio problem with a constant between-class distance constraint, and then imposes row constraints on the projection matrix to implement feature selection. …”
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Unsupervised feature selection based on generalized regression model with linear discriminant constraints by Xiangguang Dai, Mingyu Guan, Facheng Dai, Wei Zhang, Tingji Zhang, Hangjun Che, Xiangqin Dai

“…Benefited from this, the relationships and patterns within the high-dimensional data are retained in the reduced-dimensional feature space. We reformulate our proposed method as a multi-variable optimization problem that incorporates equality constraints. …”
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A photovoltaic anomaly data identification method based on image feature detection by QIU Yutao, ZHANG Lei, ZHOU Kaiyun, YAN Min, SUN Jintong, LONG Huan

“…To address this， this paper introduces an anomaly data identification algorithm based on image feature detection and dual-threshold processing. This method maps numerical data to images， transforming the anomaly detection problem into an image processing problem. …”
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Visual Object Tracking in RGB-D Data via Genetic Feature Learning by Ming-xin Jiang, Xian-xian Luo, Tao Hai, Hai-yan Wang, Song Yang, Ahmed N. Abdalla

“…As trackers, only formulated on RGB data, are usually affected by occlusions, appearance, or illumination variations, we propose a novel RGB-D tracking method based on genetic feature learning in this paper. Our approach addresses feature learning as an optimization problem. …”
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Automatic Construction and Extraction of Sports Moment Feature Variables Using Artificial Intelligence by Zhao Zhang, Wang Li, Yuyang Zhang

“…The classifier for a single decomposed action is constructed to transform the automatic description problem of free gymnastic movements into a multilabel classification problem. …”
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Features of legal regulation of subsoil use in the countries with state ownership on mineral resources by A. N. Lun’Kin

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Heterogeneous Information Networks Node Similarity Measurement Based on Feature Sub-Graph by Biao Zhang, Chuan Li, Hongyu Xu, Yanmei Li, Ning Yang, Qian Luo

“…To solve the problem in measuring the similarity of heterogeneous information networks, a similarity measuring algorithm was proposed. …”
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Fault Diagnosis of Roller Bearing based on Hybrid Feature Set and Weighted KNN by Chen Fafa, Li Mian, Chen Baojia, Chen Congping

“…Aiming at the problem that the roller bearings early fault features are faint that difficult to be effectively identified,a fault diagnosis method of roller bearing based on hybrid feature set and weighted K- nearest- neighbor（ KNN） is proposed. …”
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Feature selection algorithm based on improved particle swarm joint taboo search by Zhen ZHANG, Peng WEI, Yufeng LI, Julong LAN, Ping XU, Bo CHEN

“…To solve the problem of high data feature dimensionality in intrusion detection, a feature selection algorithm based on improved particle swarm optimization taboo search (IPSO-TS) was proposed. …”
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