Papers18:01Chinese content多类政治观点情感分析:XGBoost与BERT基准对比想了解政治文本情感分类的难度?这篇论文用XGBoost和BERT实测,F1都不到0.3,看看数据有多难搞。#XGBoost#BERT#sentiment analysis#multiclass classificationaarXiv cs.AI@Girma Yohannis Bade et al. (4)SourceRead laterReadWorth followingUsefulFollow XGBoost
Papers12:22Chinese content从简单二元决策构建分布式多类分类的基本极限这篇论文告诉你用少数几个二分类器拼多分类器到底能做到多好,有理论保证,做分布式分类的值得看看。#multiclass classification#statistical learning theoryaarXiv cs.LG@Ioannis Papageorgiou et al. (5)SourceRead laterReadWorth followingUsefulFollow multiclass classification
PapersSelected12:29Chinese content多项式时间鲁棒多类线性分类:突破高斯分布下的k≥3难题该研究解决了多类线性分类在k≥3时长期存在的计算瓶颈,做机器学习理论或分类算法开发的团队值得关注,其成对框架可直接用于改进实际多类分类器的鲁棒性。#multiclass classification#Gaussian distributionaarXiv cs.LG@Ilias Diakonikolas et al. (3)SourceRead laterReadWorth followingUsefulFollow multiclass classification