图 书 馆开课单位--信息通信研究所
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1An Overview of Transfer Learning[迁移学习概述]
Sinno Jialin Pan(信息通信研究所) Transfer learning has attracted increasingly attention in artificial intelligence, machine learning and many other application areas. Different from t...
热度：38
Sinno Jialin Pan(信息通信研究所) Transfer learning has attracted increasingly attention in artificial intelligence, machine learning and many other application areas. Different from t...
热度：38
2A Matrix Algorithm for RNA Secondary Structure Prediction[对RNA二级结构预测的矩阵算法]
S.P.T. Krishnan(信息通信研究所) In this paper we propose a novel high-performance algorithm, referred to as MARSs (Matrix Algorithm for RNA Secondary Structure Prediction), for predi...
热度：38
S.P.T. Krishnan(信息通信研究所) In this paper we propose a novel high-performance algorithm, referred to as MARSs (Matrix Algorithm for RNA Secondary Structure Prediction), for predi...
热度：38
3Mining Statistically Important Equivalence Classes[挖掘统计上重要的等价类]
Jinyan Li(信息通信研究所) The support condence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that efectively simplifies the s...
热度：32
Jinyan Li(信息通信研究所) The support condence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that efectively simplifies the s...
热度：32
4MACs: Multi-Attribute Co-Clusters with High Correlation Information[MAC:多属性协同集群信息]
Kelvin Sim(信息通信研究所) In many real-world applications that analyze correlations between two groups of diverse entities, each group of entities can be characterized by multi...
热度：80
Kelvin Sim(信息通信研究所) In many real-world applications that analyze correlations between two groups of diverse entities, each group of entities can be characterized by multi...
热度：80
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