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资源简介：
Support Vector Machine (SVM)
支持向量机（Support Vector Machine，SVM）
应用场景：
创建时间：
2023-08-11
相关数据集
m-CHA
m-CHA数据集是由印度理工学院孟买分校的研究团队手工收集的，包含了866个催化meta-C(sp2)-H键激活反应，这些反应源自26篇同行评审的论文。数据集中的反应在底物、偶联伙伴、催化剂、配体、氧化剂、碱和溶剂等方面有所不同。该数据集通过将反应物分子的SMILES字符串连接起来，形成一个适合机器学习模型构建的复合表示。该数据集的应用领域在于优化化学反应的收益率，解决化学反应中的催化剂、反应条件
arXiv2025-02-27 更新600
Adaptive energy reference for machine-learning models of the electronic density of states
The electronic density of states (DOS) provides information regarding the distribution of electronic states in a material, and can be used to approximate its optical and electronic properties and ther
doi.org50
Supporting data for "Mapping Aeolian Landforms and Uncovering Multi-Generational Wind Imprints on Mars Using Machine Learning"
Supplementary data: “Mapping Aeolian Landforms and Uncovering Multi-Generational Wind Imprints on Mars Using Machine Learning” .This folder contains the geodesic azimuth and wavelength of the ma
Figshare2025-10-31 更新40
Data_Sheet_1_Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data.docx
Background: Individuals with major depressive disorder (MDD) vary in their response to antidepressants. However, identifying objective biomarkers, prior to or early in the course of treatment that can
NIAID Data Ecosystem50
vdaita/gsm8k_mini_gemma_answer_2_train
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string - name: id dtype: int64 - name: initial_answer dtype: string splits: - name: train
Hugging Face2024-05-27 更新50
