图 书 馆开课单位--剑桥大学
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41Reinforcement Learning with Limited Reinforcement: Using Bayes Risk for Active Learning in POMDPs[加固有限的强化学习：利用Bayes风险POMDPs主动学习]
Finale Doshi(剑桥大学) Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains because they optimally trade between actions that increase ...
热度：110
Finale Doshi(剑桥大学) Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains because they optimally trade between actions that increase ...
热度：110
42Spectral Clustering[谱聚类算法]
Arik Azran(剑桥大学) **Machine Learning Tutorial Lecture** Spectral clustering is a technique for finding group structure in data. It is based on viewing the data points a...
热度：64
Arik Azran(剑桥大学) **Machine Learning Tutorial Lecture** Spectral clustering is a technique for finding group structure in data. It is based on viewing the data points a...
热度：64
43SpARC - Supplementary Assistance for Rowing Coaching[可扩充处理器架构-为赛艇教练追加援助]
Simon Fothergill(剑桥大学) This system gathers data and provides real-time and post-session feedback to athletes on aspects of their technique by measuring and analysing the kin...
热度：53
Simon Fothergill(剑桥大学) This system gathers data and provides real-time and post-session feedback to athletes on aspects of their technique by measuring and analysing the kin...
热度：53
44Active dendrites: adaptation to spike-based communication[主动树突：适应基于穗的通信]
Balazs B Ujfalussy(剑桥大学) Computational analyses of dendritic computations often assume stationary inputs to neurons, ignoring the pulsatile nature of spike-based communication...
热度：37
Balazs B Ujfalussy(剑桥大学) Computational analyses of dendritic computations often assume stationary inputs to neurons, ignoring the pulsatile nature of spike-based communication...
热度：37
45464748The Infinite Factorial Hidden Markov Model[无限的阶乘隐马尔可夫模型]
Jurgen Van Gael(剑桥大学) The in nite factorial hidden Markov model is a non-parametric extension of the factorial hidden Markov model. Our model de nes a probability distribut...
热度：126
Jurgen Van Gael(剑桥大学) The in nite factorial hidden Markov model is a non-parametric extension of the factorial hidden Markov model. Our model de nes a probability distribut...
热度：126
49Why study insulators?[为何研究绝缘体？]
James F. Scott(剑桥大学) Superconductors are sexier and semiconductors produce a billion $ per year in devices. So why should scientists study insulating materials? Firstly, m...
热度：77
James F. Scott(剑桥大学) Superconductors are sexier and semiconductors produce a billion $ per year in devices. So why should scientists study insulating materials? Firstly, m...
热度：77
50Chandra’s Scientific Legacy[Chandra的科学遗产]
Martin Rees, Peter G. O. Freund(剑桥大学) author: Martin Rees, Institute of Astronomy, University of Cambridge introducer: Peter G. O. Freund, Department of Physics, University of Chicago ...
热度：34
Martin Rees, Peter G. O. Freund(剑桥大学) author: Martin Rees, Institute of Astronomy, University of Cambridge introducer: Peter G. O. Freund, Department of Physics, University of Chicago ...
热度：34