图 书 馆开课单位--伦敦帝国理工学院
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1Neural 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：31
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：31
2Where 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：33
Francesco Sanna Passino(伦敦帝国理工学院) Where Next? A Dynamic Model of User Preferences
热度：33
3Atomic 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：47
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：47
4Psychedelic 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：47
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：47
5Predicting 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：59
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：59
6Integrative 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：88
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：88
7Data 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：43
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：43
8Coevolution[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：50
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：50
9Predicting 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：99
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：99
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