Search alternatives:
processes optimization » process optimization (Expand Search), process optimisation (Expand Search), property optimization (Expand Search)
guided optimization » based optimization (Expand Search), model optimization (Expand Search)
based processes » care processes (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
processes optimization » process optimization (Expand Search), process optimisation (Expand Search), property optimization (Expand Search)
guided optimization » based optimization (Expand Search), model optimization (Expand Search)
based processes » care processes (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
-
1
-
2
-
3
-
4
-
5
-
6
The Pseudo-Code of the IRBMO Algorithm.
Published 2025“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”
-
7
-
8
-
9
IRBMO vs. meta-heuristic algorithms boxplot.
Published 2025“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”
-
10
IRBMO vs. feature selection algorithm boxplot.
Published 2025“…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”
-
11
Inferring Gene Regulatory Networks Using the Improved Markov Blanket Discovery Algorithm
Published 2023“…</p><p dir="ltr"> (2) Isolated genes were properly processed by the IDS to optimize the network structure.…”
-
12
Inferring Gene Regulatory Networks Using the Improved Markov Blanket Discovery Algorithm
Published 2023“…This work mainly focuses on the following aspects: (1) On the basis of the IPC-MB and DPI, we presented a novel feature selection method called the improved MB discovery algorithm (IMBDA), which can accurately identify direct and indirect regulatory genes when inferring networks. (2) Isolated genes were properly processed by the IDS to optimize the network structure. (3) The performance of IMBDANET was assessed with extensive experiments. …”
-
13
-
14
-
15
-
16
-
17
-
18
-
19
-
20
Population graph of 19 wood turtle populations based on conditional genetic distance (cGD).
Published 2022Subjects: