Adapted-GRASP-DL

所属分类:聚类算法
开发工具:Python
文件大小:15795KB
下载次数:0
上传日期:2022-10-29 15:19:34
上 传 者sh-1993
说明:  伯南布哥联邦大学信息中心的研究人员开发的自适应GRASP算法...
(Adapted GRASP algorithm developed by researchers from the Informatics Center of the Federal University of Pernambuco - UFPE to optimize Deep Learning architectures for tabular data classification.)

文件列表:
Algorithms (0, 2022-10-29)
Algorithms\GRASP (0, 2022-10-29)
Algorithms\GRASP\AdaptedGRASPForDFNN.py (13403, 2022-10-29)
Algorithms\GRASP\AdaptedGRASPForTabnet.py (7900, 2022-10-29)
Algorithms\TabuSearch (0, 2022-10-29)
Algorithms\TabuSearch\TabuSearchForDFNN.py (9881, 2022-10-29)
Algorithms\TabuSearch\TabuSearchForTabnet.py (6486, 2022-10-29)
Datasets (0, 2022-10-29)
Datasets\Activity.py (1610, 2022-10-29)
Datasets\Activity_Recognition_Using-WPM.txt (20929343, 2022-10-29)
Datasets\GasDrift.py (1628, 2022-10-29)
Datasets\ISOLET.py (1542, 2022-10-29)
Datasets\MNIST.py (1176, 2022-10-29)
Datasets\SatImage.py (1461, 2022-10-29)
Datasets\gas_drift.csv (17293444, 2022-10-29)
Datasets\satimage_csv.csv (2217374, 2022-10-29)
Experiments (0, 2022-10-29)
Experiments\DFNN (0, 2022-10-29)
Experiments\DFNN\GRASP_Activity.py (1479, 2022-10-29)
Experiments\DFNN\GRASP_GasDrift.py (1448, 2022-10-29)
Experiments\DFNN\GRASP_ISOLET.py (1451, 2022-10-29)
Experiments\DFNN\GRASP_MNIST.py (1447, 2022-10-29)
Experiments\DFNN\GRASP_SatImage.py (1455, 2022-10-29)
Experiments\DFNN\TS_Activity.py (1697, 2022-10-29)
Experiments\DFNN\TS_GasDrift.py (1664, 2022-10-29)
Experiments\DFNN\TS_ISOLET.py (1669, 2022-10-29)
Experiments\DFNN\TS_MNIST.py (1665, 2022-10-29)
Experiments\DFNN\TS_SatImage.py (1673, 2022-10-29)
Experiments\TabNet (0, 2022-10-29)
Experiments\TabNet\GRASP_Activity.py (1607, 2022-10-29)
Experiments\TabNet\GRASP_GasDrift.py (1598, 2022-10-29)
Experiments\TabNet\GRASP_ISOLET.py (1599, 2022-10-29)
Experiments\TabNet\GRASP_MNIST.py (1595, 2022-10-29)
Experiments\TabNet\GRASP_SatImage.py (1607, 2022-10-29)
Experiments\TabNet\TS_Activity.py (1919, 2022-10-29)
Experiments\TabNet\TS_GasDrift.py (1910, 2022-10-29)
Experiments\TabNet\TS_ISOLET.py (1911, 2022-10-29)
Experiments\TabNet\TS_MNIST.py (1907, 2022-10-29)
... ...

# Adapted-GRASP-DL Adapted GRASP algorithm developed by researchers from the Informatics Center of the Federal University of Pernambuco - UFPE to optimize Deep Learning architectures for tabular data classification. Official paper code: An Adapted GRASP Approach for Hyperparameter Search on Deep Networks Applied to Tabular Data. Read more about our paper at: https://ieeexplore.ieee.org/document/***92288

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