图 书 馆开课单位--怀卡托大学
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1Experiment Databases for Machine Learning / BenchMarking Via Weka[机器学习/基准通过Weka实验数据库]
Peter Reutemann(怀卡托大学) **Experiment Databases for Machine Learning**\\ Experiment Databases for Machine Learning is a large public repository of machine learning experiments...
热度：58
Peter Reutemann(怀卡托大学) **Experiment Databases for Machine Learning**\\ Experiment Databases for Machine Learning is a large public repository of machine learning experiments...
热度：58
2MOA: a Real-time Analytics Open Source Framework[MOA：一个实时分析开源框架]
Bernhard Pfahringer(怀卡托大学) Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data str...
热度：337
Bernhard Pfahringer(怀卡托大学) Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data str...
热度：337
3One-class Classification by Combining Density and Class Probability Estimation[密度估计与类概率相结合的一类分类]
Kathryn Hempstalk, Eibe Frank, Ian H. Witten(怀卡托大学) One-class classification has important applications such as outlier and novelty detection. It is commonly tackled using density estimation techniques ...
热度：82
Kathryn Hempstalk, Eibe Frank, Ian H. Witten(怀卡托大学) One-class classification has important applications such as outlier and novelty detection. It is commonly tackled using density estimation techniques ...
热度：82
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