开课单位--伦敦帝国理工学院
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Neural Embeddings of Graphs in Hyperbolic Space[图在双曲空间中的神经嵌入]
Ben Chamberlain(伦敦帝国理工学院) Neural embeddings have been used with great success in Natural Language Processing (NLP). They provide compact representations that encapsulate word s...
热度:23
Ben Chamberlain(伦敦帝国理工学院) Neural embeddings have been used with great success in Natural Language Processing (NLP). They provide compact representations that encapsulate word s...
热度:23
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Where Next? A Dynamic Model of User Preferences[下一步呢?用户偏好的动态模型]
Francesco Sanna Passino(伦敦帝国理工学院) Where Next? A Dynamic Model of User Preferences
热度:28
Francesco Sanna Passino(伦敦帝国理工学院) Where Next? A Dynamic Model of User Preferences
热度:28
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Atomic scale simulation in the service of nuclear materials[核材料服务中的原子尺度模拟]
Robin W. Grimes(伦敦帝国理工学院) With nuclear energy related technologies, data to underpin operation is often difficult to obtain either because the controlling factor takes place on...
热度:41
Robin W. Grimes(伦敦帝国理工学院) With nuclear energy related technologies, data to underpin operation is often difficult to obtain either because the controlling factor takes place on...
热度:41
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Psychedelic drugs in science and medicine[科学与医学中的迷幻药]
Robin Carhart-Harris(伦敦帝国理工学院) Psychedelic drugs have been used for millennia by certain cultures and are now being used by scientists and doctors in contemporary science and medici...
热度:43
Robin Carhart-Harris(伦敦帝国理工学院) Psychedelic drugs have been used for millennia by certain cultures and are now being used by scientists and doctors in contemporary science and medici...
热度:43
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Predicting anti-cancer molecule activity using machine learning algorithms[利用机器学习算法预测抗癌分子活性]
Jose Santos(伦敦帝国理工学院) In this paper we study the anti-cancer activity of - 4.000 unique compounds against a set of 60 cell lines (e.g. Leukemia, Prostate, Breast). Small mo...
热度:57
Jose Santos(伦敦帝国理工学院) In this paper we study the anti-cancer activity of - 4.000 unique compounds against a set of 60 cell lines (e.g. Leukemia, Prostate, Breast). Small mo...
热度:57
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Integrative topology uncovers new biology from heterogeneous omics data[整合拓扑从异质组学数据中揭示新生物学]
Nataša Pržulj(伦敦帝国理工学院) We are faced with a flood of molecular and clinical data. We are measuring interactions between various bio-molecules in a cell that form large, compl...
热度:84
Nataša Pržulj(伦敦帝国理工学院) We are faced with a flood of molecular and clinical data. We are measuring interactions between various bio-molecules in a cell that form large, compl...
热度:84
![](functions/showpic.php?filename=2020120902482156.jpg)
Data Science for Financial Applications[数据科学于应用金融]
David Hand(伦敦帝国理工学院) Financial applications of data science provide a perfect illustration of the power of the shift from subjective decision-making to data- and evidence-...
热度:38
David Hand(伦敦帝国理工学院) Financial applications of data science provide a perfect illustration of the power of the shift from subjective decision-making to data- and evidence-...
热度:38
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Coevolution[共同进化]
Alex Kraaijeveld(伦敦帝国理工学院) It has been a century and a half since Darwin provided the first mechanistic explanation for the complexity of the living things we see around us. Onl...
热度:46
Alex Kraaijeveld(伦敦帝国理工学院) It has been a century and a half since Darwin provided the first mechanistic explanation for the complexity of the living things we see around us. Onl...
热度:46
![](functions/showpic.php?filename=2020040810224848.jpg)
Predicting anti-cancer molecule activity using machine learning algorithms[使用机器算法预测抗癌症分子活动]
Jose Santos(伦敦帝国理工学院) In this paper we study the anti-cancer activity of - 4.000 unique compounds against a set of 60 cell lines (e.g. Leukemia, Prostate, Breast). Small mo...
热度:88
Jose Santos(伦敦帝国理工学院) In this paper we study the anti-cancer activity of - 4.000 unique compounds against a set of 60 cell lines (e.g. Leukemia, Prostate, Breast). Small mo...
热度:88
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