图 书 馆开课单位--宾夕法尼亚州立大学
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1IntelliLight: a Reinforcement Learning Approach for Intelligent Traffic Light Control[IntelliLight：一种用于智能交通灯控制的强化学习方法]
Guanjie Zheng(宾夕法尼亚州立大学) The intelligent traffic light control is critical for an efficient transportation system. While existing traffic lights are mostly operated by hand-cr...
热度：180
Guanjie Zheng(宾夕法尼亚州立大学) The intelligent traffic light control is critical for an efficient transportation system. While existing traffic lights are mostly operated by hand-cr...
热度：180
2Sequential Hypothesis Tests for Markov Models of Time-Series Data[时间序列数据马尔可夫模型的序列假设检验]
Nurali Virani(宾夕法尼亚州立大学) This paper presents new results on sequential hypothesis tests for Markov models of time series data. In particular, a technique for sequential hypoth...
热度：95
Nurali Virani(宾夕法尼亚州立大学) This paper presents new results on sequential hypothesis tests for Markov models of time series data. In particular, a technique for sequential hypoth...
热度：95
3SRVAR: Joint Discrete Hidden State Discovery and Structure Learning from Time Series Data[SRVAR：基于时间序列数据的联合离散隐状态发现和结构学习]
Tsung-Yu Hsieh(宾夕法尼亚州立大学) SRVAR: Joint Discrete Hidden State Discovery and Structure Learning from Time Series Data
热度：98
Tsung-Yu Hsieh(宾夕法尼亚州立大学) SRVAR: Joint Discrete Hidden State Discovery and Structure Learning from Time Series Data
热度：98
4MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths[MedPath：通过医学知识路径增强健康风险预测]
Muchao Ye(宾夕法尼亚州立大学) MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths
热度：135
Muchao Ye(宾夕法尼亚州立大学) MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths
热度：135
5UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data[UNITE：利用多源数据进行基于不确定性的健康风险预测]
Chacha Chen(宾夕法尼亚州立大学) UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data
热度：79
Chacha Chen(宾夕法尼亚州立大学) UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data
热度：79
6Mining Periodic Behaviors for Moving Objects[运动目标的周期行为挖掘]
Zhenhui Jessie Li(宾夕法尼亚州立大学) Periodicity is a frequently happening phenomenon for moving objects. Finding periodic behaviors is essential to understanding object movements. Howeve...
热度：111
Zhenhui Jessie Li(宾夕法尼亚州立大学) Periodicity is a frequently happening phenomenon for moving objects. Finding periodic behaviors is essential to understanding object movements. Howeve...
热度：111
7华尔街训练营
V.A(宾夕法尼亚州立大学) 中文字幕；共6讲；简介：本课程为有意向在华尔街寻求工作的人们提供了关于华尔街的礼节规矩、个人财富管理、销售、贸易、投资银行学等方面的入门知识。
热度：108
V.A(宾夕法尼亚州立大学) 中文字幕；共6讲；简介：本课程为有意向在华尔街寻求工作的人们提供了关于华尔街的礼节规矩、个人财富管理、销售、贸易、投资银行学等方面的入门知识。
热度：108
8Lessons for Cyber-infrastructure and Web[网络基础设施和网络课程]
Lee Giles(宾夕法尼亚州立大学) E-science or cyberinfrastructure have become crucial for scientific progress and open source systems have greatly facilitated design and implementatio...
热度：85
Lee Giles(宾夕法尼亚州立大学) E-science or cyberinfrastructure have become crucial for scientific progress and open source systems have greatly facilitated design and implementatio...
热度：85
9SIMCOMP: A Hybrid Soft Clustering of Metagenome Reads[simcomp：元基因组读取的混合软聚类 ]
Shruthi Prabhakara(宾夕法尼亚州立大学) A major challenge facing metagenomics is the development of tools for the characterization of functional and taxonomic content of vast amounts of shor...
热度：105
Shruthi Prabhakara(宾夕法尼亚州立大学) A major challenge facing metagenomics is the development of tools for the characterization of functional and taxonomic content of vast amounts of shor...
热度：105
10Mining Periodic Behaviors for Moving Objects[挖掘运动对象的周期行为]
Zhenhui Li(宾夕法尼亚州立大学 ) Periodicity is a frequently happening phenomenon for moving objects. Finding periodic behaviors is essential to understanding object movements. Howeve...
热度：116
Zhenhui Li(宾夕法尼亚州立大学 ) Periodicity is a frequently happening phenomenon for moving objects. Finding periodic behaviors is essential to understanding object movements. Howeve...
热度：116
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