开课单位--国立巴黎高等矿业学院
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Transductive Learning and Computer Vision[直推式学习和计算机视觉]
Jean Yves Audibert(国立巴黎高等矿业学院) Push learning and computer vision
热度:44
Jean Yves Audibert(国立巴黎高等矿业学院) Push learning and computer vision
热度:44
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Fast joint segmentation of multiple array CGH profiles for detecting frequent copy number variations[快速联合分割的多阵列CGH配置文件检测频繁的拷贝数变化]
Kevin Bleakley(国立巴黎高等矿业学院) Fast joint segmentation of multiple array CGH profiles for detecting frequent copy number variations
热度:39
Kevin Bleakley(国立巴黎高等矿业学院) Fast joint segmentation of multiple array CGH profiles for detecting frequent copy number variations
热度:39
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Kernel Methods in Computational Biology[计算生物学中的核方法]
Jean-Philippe Vert(国立巴黎高等矿业学院) Many problems in computational biology and chemistry can be formalized as classical statistical problems, e.g., pattern recognition, regression or dim...
热度:77
Jean-Philippe Vert(国立巴黎高等矿业学院) Many problems in computational biology and chemistry can be formalized as classical statistical problems, e.g., pattern recognition, regression or dim...
热度:77
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Use of variance estimation in the multi-armed bandit problem[多武装土匪问题中方差估计的应用]
Jean Yves Audibert(国立巴黎高等矿业学院) An important aspect of most decision making problems concerns the appropriate balance between exploitation (acting optimally according to the partial ...
热度:305
Jean Yves Audibert(国立巴黎高等矿业学院) An important aspect of most decision making problems concerns the appropriate balance between exploitation (acting optimally according to the partial ...
热度:305
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Supervised reconstruction of biological networks[生物网络监督重建]
Jean-Philippe Vert(国立巴黎高等矿业学院) The inference or reconstruction of various biological networks, including regulatory, signalling or metabolic pathways, from large-scale heterogeneous...
热度:57
Jean-Philippe Vert(国立巴黎高等矿业学院) The inference or reconstruction of various biological networks, including regulatory, signalling or metabolic pathways, from large-scale heterogeneous...
热度:57
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Sparse methods for machine learning: Theory and algorithms[机器学习方法稀疏的理论与算法]
Guillaume Obozinski(国立巴黎高等矿业学院) Sparse methods such as regularization by the L1-norm has attracted a lot of interest in recent years in statistics, machine learning and signal proces...
热度:67
Guillaume Obozinski(国立巴黎高等矿业学院) Sparse methods such as regularization by the L1-norm has attracted a lot of interest in recent years in statistics, machine learning and signal proces...
热度:67
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Panel discussion[小组讨论]
Guillaume Obozinski;Raquel Urtasun; Massimiliano Pontil; Kilian Weinberger(国立巴黎高等矿业学院)
热度:39
Guillaume Obozinski;Raquel Urtasun; Massimiliano Pontil; Kilian Weinberger(国立巴黎高等矿业学院)
热度:39
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