图 书 馆开课单位--澳大利亚国立大学
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11Introduction To Statistical Machine Learning[统计机器学习概论]
Marcus Hutter(澳大利亚国立大学) This course provides a brief overview of the methods and practice of statistical machine learning, which is concerned with the development of algorith...
热度：54
Marcus Hutter(澳大利亚国立大学) This course provides a brief overview of the methods and practice of statistical machine learning, which is concerned with the development of algorith...
热度：54
12Fundamentals Of Metalogic[基本面元]
John K. Slaney(澳大利亚国立大学) This course provides an introduction to the metatheory of elementary logic. Following a "refresher" on the basics of notation and the use of...
热度：55
John K. Slaney(澳大利亚国立大学) This course provides an introduction to the metatheory of elementary logic. Following a "refresher" on the basics of notation and the use of...
热度：55
13Learning Theory[学习理论]
Mark Reid(澳大利亚国立大学) This course highlights some relationships between surrogate losses, scoring rules, f-divergences, Bregman divergences, statistical information and ROC...
热度：43
Mark Reid(澳大利亚国立大学) This course highlights some relationships between surrogate losses, scoring rules, f-divergences, Bregman divergences, statistical information and ROC...
热度：43
14How to predict with Bayes, MDL, and Experts[如何使用贝叶斯法则,方法检出最低限值法和专家预测法]
Marcus Hutter(澳大利亚国立大学) Most passive Machine Learning tasks can be (re)stated as sequence prediction problems. This includes pattern recognition, classification, time-series ...
热度：46
Marcus Hutter(澳大利亚国立大学) Most passive Machine Learning tasks can be (re)stated as sequence prediction problems. This includes pattern recognition, classification, time-series ...
热度：46
15MarkusSparse Grid Methods[马库斯稀疏网格法]
Markus Hegland(澳大利亚国立大学) The search for interesting variable stars, the discovery of relations between geomorphological properties, satellite observations and mineral concentr...
热度：85
Markus Hegland(澳大利亚国立大学) The search for interesting variable stars, the discovery of relations between geomorphological properties, satellite observations and mineral concentr...
热度：85
16Mixed Bregman Clustering with Approximation Guarantees[近似保证聚类混合布雷格曼]
Jyrki Kivinen;Richard Knock;Panu Luosto(澳大利亚国立大学) Two recent breakthroughs have dramatically improved the scope and performance of k-means clustering: squared Euclidean seeding for the initialization ...
热度：40
Jyrki Kivinen;Richard Knock;Panu Luosto(澳大利亚国立大学) Two recent breakthroughs have dramatically improved the scope and performance of k-means clustering: squared Euclidean seeding for the initialization ...
热度：40
17Ecopolitical debate and the politics of Nature[生态政治辩论和自然政治]
Val Plumwood(澳大利亚国立大学) During the last thirty years philosophers in the West have critiqued the underlying assumptions of Modern philosophy in relation to the natural world....
热度：33
Val Plumwood(澳大利亚国立大学) During the last thirty years philosophers in the West have critiqued the underlying assumptions of Modern philosophy in relation to the natural world....
热度：33
18How to Predict Sequences with Bayes, MDL and Experts[如何预测序列贝叶斯，MDL和专家]
Marcus Hutter(澳大利亚国立大学) 如何预测序列贝叶斯，MDL和专家
热度：45
Marcus Hutter(澳大利亚国立大学) 如何预测序列贝叶斯，MDL和专家
热度：45
1920How to Predict Sequences with Bayes, MDL, and Experts[如何预测序列贝叶斯，主要数据程序，专家]
Marcus Hutter(澳大利亚国立大学) 如何预测序列贝叶斯，主要数据程序，专家
热度：71
Marcus Hutter(澳大利亚国立大学) 如何预测序列贝叶斯，主要数据程序，专家
热度：71