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特征选择( Feature Selection )也称特征子集选择( Feature Subset Selection , FSS )，或属性选择( Attribute Selection )。是指从已有的M个特征(Feature)中选择N个特征使得系统的特定指标最优化，是从原始特征中选择出一些最有效特征以降低数据集维度的过程,是提高学习算法性能的一个重要手段,也是模式识别中关键的数据预处理步骤。对于一个学习算法来说,好的学习样本是训练模型的关键。
CoHiRF: A Scalable and Interpretable Clustering Framework for High-Dimensional Data
Arxiv
0+阅读 · 4月2日
Segmentation variability and radiomics stability for predicting Triple-Negative Breast Cancer subtype using Magnetic Resonance Imaging
Segmentation variability and radiomics stability for predicting Triple-Negative Breast Cancer subtype using Magnetic Resonance Imaging
Arxiv
0+阅读 · 4月2日
RelChaNet: Neural Network Feature Selection using Relative Change Scores
Arxiv
0+阅读 · 3月31日
LLM4FS: Leveraging Large Language Models for Feature Selection and How to Improve It
LLM4FS: Leveraging Large Language Models for Feature Selection and How to Improve It
Arxiv
0+阅读 · 3月31日
Axiomatic Explainer Globalness via Optimal Transport
Arxiv
0+阅读 · 3月12日
Naive Feature Selection: a Nearly Tight Convex Relaxation for Sparse Naive Bayes
Arxiv
0+阅读 · 3月12日
Using Markov Boundary Approach for Interpretable and Generalizable Feature Selection
Arxiv
0+阅读 · 3月8日
Adaptive Collaborative Correlation Learning-based Semi-Supervised Multi-Label Feature Selection
Arxiv
0+阅读 · 3月24日
A fuzzy adaptive evolutionary-based feature selection and machine learning framework for single and multi-objective body fat prediction
Arxiv
0+阅读 · 3月7日
ShuffleGate: An Efficient and Self-Polarizing Feature Selection Method for Large-Scale Deep Models in Industry
Arxiv
0+阅读 · 3月12日
ShuffleGate: An Efficient and Self-Polarizing Feature Selection Method for Large-Scale Deep Models in Industry
Arxiv
0+阅读 · 3月17日
ShuffleGate: An Efficient and Self-Polarizing Feature Selection Method for Large-Scale Deep Models in Industry
Arxiv
0+阅读 · 3月18日
Dynamic Feature Selection from Variable Feature Sets Using Features of Features
Arxiv
0+阅读 · 3月12日
Development and Validation of a Deep-Learning Model for Differential Treatment Benefit Prediction for Adults with Major Depressive Disorder Deployed in the Artificial Intelligence in Depression Medication Enhancement (AIDME) Study
Arxiv
0+阅读 · 3月26日
PhishVQC: Optimizing Phishing URL Detection with Correlation Based Feature Selection and Variational Quantum Classifier
Arxiv
0+阅读 · 3月3日
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