图 书 馆开课单位--莱顿大学
11
12
13
14
11Dynamic prediction of survival with clinical and genomic data[用临床和基因组数据动态预测存活率]
Hans C. van Houwelingen(莱顿大学) An important clinical application of biostatistics is the development of statistical models for the prognosis of a patient at the moment of diagnosis....
热度：45
Hans C. van Houwelingen(莱顿大学) An important clinical application of biostatistics is the development of statistical models for the prognosis of a patient at the moment of diagnosis....
热度：45
12Explanation of SVM's behaviour in text classification[文本分类中SVM行为的解释]
Fabrice Colas(莱顿大学) We are concerned with the problem of learning classification rules in text categorization where many authors presented Support Vector Machines (SVM...
热度：34
Fabrice Colas(莱顿大学) We are concerned with the problem of learning classification rules in text categorization where many authors presented Support Vector Machines (SVM...
热度：34
13Collaboration-based function prediction in protein-protein interaction networks[蛋白质 - 蛋白质网络中基于协作相互作用的功能预测]
Hossein Rahmani(莱顿大学) We consider the problem of predicting the functions of individual proteins in protein-protein interaction (PPI) networks. Existing techniques assume t...
热度：86
Hossein Rahmani(莱顿大学) We consider the problem of predicting the functions of individual proteins in protein-protein interaction (PPI) networks. Existing techniques assume t...
热度：86
14Does SVM Really Scale Up to Large Bag of Words Feature Spaces?[SVM真的可以扩展到大的单词包特征空间吗？]
Fabrice Colas(莱顿大学) We are concerned with the problem of learning classification rules in text categorization where many authors presented Support Vector Machines (SVM)...
热度：54
Fabrice Colas(莱顿大学) We are concerned with the problem of learning classification rules in text categorization where many authors presented Support Vector Machines (SVM)...
热度：54