heterodox
发表于 2025-3-26 21:16:29
Intelligent Computing Theories and Application978-3-319-42294-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
tenosynovitis
发表于 2025-3-27 01:51:27
https://doi.org/10.1007/978-3-319-42294-7biological networks; computer vision; ensemble methods; kernel methods; neural networks; artificial intel
垄断
发表于 2025-3-27 08:47:40
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inveigh
发表于 2025-3-27 13:19:26
A Hybrid Scatter Search Algorithm to Solve the Capacitated Arc Routing Problem with Refill Points arcs must be refilled on the spot by using a second vehicle. This problem is addressed in real-world applications in many services systems. The problem consists on simultaneously determining the vehicles routes that minimize the total cost. In the literature is proposed an integer linear programmin
DIS
发表于 2025-3-27 16:00:53
A Novel Fitness Function Based on Decomposition for Multi-objective Optimization Problemsions is of great importance for multi-objective evolutionary algorithms. To this end, in this paper, a novel fitness function based on decomposition is proposed to help solutions converge toward to the Pareto optimal solutions and maintain the diversity of solutions. First, the objective space is de
牛马之尿
发表于 2025-3-27 20:17:05
MREP: Multi-Reference Expression Programmingin a single chromosome. However, when the ratio of genes reuse is low, it may not get a high accuracy result within limited iterations and may fall into the trap of local optimum. Therefore, we proposed a novel genetic evolutionary algorithm named MREP (multi-reference expression programming). The M
过份
发表于 2025-3-28 01:26:35
Extraction of Independent Components from Sparse Mixtures a dictionary-learning-like objective function which tries to discover independent atoms and corresponding sparse mixing matrix. The objective function involves fidelity term, L1 normalization term and Negentropy term which respectively limits noise, maximizes the sparseness of mixing matrix and no
拱形大桥
发表于 2025-3-28 04:31:43
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puzzle
发表于 2025-3-28 09:58:22
A Compressed Sensing Based Feature Extraction Method for Identifying Characteristic Genesm gene expression data. In this paper, a novel compressed sensing (CS) based feature extraction method named CSGS is proposed to identify the characteristic genes. Considering the transposed gene expression matrix and class labels as sensing matrix and measurement vector, respectively, CS reconstruc
冒失
发表于 2025-3-28 13:41:01
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