开课单位--马克斯普朗克研究所
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Machine Learning Summer Schools[机器学习暑期学校]
Gunnar Rätsch(马克斯普朗克研究所) Machine Learning Summer Schools
热度:29
Gunnar Rätsch(马克斯普朗克研究所) Machine Learning Summer Schools
热度:29
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Online Learning and Bregmann Divergences[在线学习与布雷格曼分歧]
Gunnar Rätsch(马克斯普朗克研究所) Online Learning and Bregmann Divergences
热度:21
Gunnar Rätsch(马克斯普朗克研究所) Online Learning and Bregmann Divergences
热度:21
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CoCo: Coding Cost for Parameter-free Outlier Detection[可可:编码参数的孤立点检测的成本]
Nikola Müller(马克斯普朗克研究所) How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of applications, e.g. in economy, bi...
热度:61
Nikola Müller(马克斯普朗克研究所) How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of applications, e.g. in economy, bi...
热度:61
![](functions/showpic.php?filename=2020112910141048.png)
Streaming Hierarchical Video Segmentation[流式分层视频分割]
Bernt Schiele; David Forsyth(马克斯普朗克研究所) The use of video segmentation as an early processing step in video analysis lags behind the use of image segmentation for image analysis, despite many...
热度:100
Bernt Schiele; David Forsyth(马克斯普朗克研究所) The use of video segmentation as an early processing step in video analysis lags behind the use of image segmentation for image analysis, despite many...
热度:100
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Probability, Information Theory and Bayesian Inference[概率、信息论与贝叶斯推理]
Joaquin Quiñonero Candela(马克斯普朗克研究所)
热度:44
Joaquin Quiñonero Candela(马克斯普朗克研究所)
热度:44
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Introduction to bioinformatics[ 生物信息学概论 ]
Gunnar Rätsch(马克斯普朗克研究所) I will start by giving a general introduction into Bioinformatics, including basic biology, typical data types (sequences, structures, expression data...
热度:44
Gunnar Rätsch(马克斯普朗克研究所) I will start by giving a general introduction into Bioinformatics, including basic biology, typical data types (sequences, structures, expression data...
热度:44
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Helping doctors and patients make sense of health statistics: towards an evidence-based society[帮助医生和病人理解卫生统计:走向循证社会]
Gerd Gigerenzer(马克斯普朗克研究所) Collective statistical illiteracy is the phenomenon that the majority of people do not understand what health statistics mean, or even consistently dr...
热度:29
Gerd Gigerenzer(马克斯普朗克研究所) Collective statistical illiteracy is the phenomenon that the majority of people do not understand what health statistics mean, or even consistently dr...
热度:29
![](functions/showpic.php?filename=2020102805114942.jpg)
Helping doctors and patients make sense of health statistics: towards an evidence-based society[帮助医生和病人理解卫生统计:走向循证社会]
Gerd Gigerenzer(马克斯普朗克研究所) Collective statistical illiteracy is the phenomenon that the majority of people do not understand what health statistics mean, or even consistently dr...
热度:35
Gerd Gigerenzer(马克斯普朗克研究所) Collective statistical illiteracy is the phenomenon that the majority of people do not understand what health statistics mean, or even consistently dr...
热度:35
![](functions/showpic.php?filename=2020111207404285.png)
Homo heuristicus: Why biased minds make better inferences[人类启发:为什么有偏见的头脑会做出更好的推断]
Gerd Gigerenzer(马克斯普朗克研究所) Heuristics are efficient cognitive processes that ignore information. In contrast to the widely held view that less processing reduces accuracy, the s...
热度:50
Gerd Gigerenzer(马克斯普朗克研究所) Heuristics are efficient cognitive processes that ignore information. In contrast to the widely held view that less processing reduces accuracy, the s...
热度:50
![](functions/showpic.php?filename=2020101409212839.png)
Phase transition in the family of p-resistances[p电阻族中的相变]
Morteza Alamgir(马克斯普朗克研究所) We study the family of p-resistances on graphs for p ≥ 1. This family generalizes the standard resistance distance. We prove that for any fixed gra...
热度:45
Morteza Alamgir(马克斯普朗克研究所) We study the family of p-resistances on graphs for p ≥ 1. This family generalizes the standard resistance distance. We prove that for any fixed gra...
热度:45