图 书 馆开课单位--伦敦帝国学院
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1Mismatched Models, Wrong Results, and Dreadful Decisions[不匹配的模型、错误的结果和可怕的决策]
David Hand(伦敦帝国学院) Data mining techniques use score functions to quantify how well a model fits a given data set. Parameters are estimated by optimising the fit, as meas...
热度：28
David Hand(伦敦帝国学院) Data mining techniques use score functions to quantify how well a model fits a given data set. Parameters are estimated by optimising the fit, as meas...
热度：28
2Affective Multimedia Analysis: Introduction, Background and Perspectives[情感多媒体分析：绪论、背景和观点]
Mohammad Soleymani(伦敦帝国学院) In 1995, Picard proposed ideas about how to use affective computing for multimedia selection [1]. She envisaged a content player which can sense user&...
热度：38
Mohammad Soleymani(伦敦帝国学院) In 1995, Picard proposed ideas about how to use affective computing for multimedia selection [1]. She envisaged a content player which can sense user&...
热度：38
3Efficient Kernels Couple Visual Words Through Categorical Opponency[高效的内核对视觉单词，通过明确的反对]
Ioannis Alexiou(伦敦帝国学院) Recent progress has been made on sparse dictionaries for the Bag-of-Visual-Words (BOVW) approach to object recognition and scene categorization. In pa...
热度：79
Ioannis Alexiou(伦敦帝国学院) Recent progress has been made on sparse dictionaries for the Bag-of-Visual-Words (BOVW) approach to object recognition and scene categorization. In pa...
热度：79
4Nonparametric Mixtures of Multi-Output Heteroscedastic Gaussian Processes for Volatility Modeling[波动性建模所需的多输出异方差高斯法的非参数混合物]
Platanios Emmanouil A(伦敦帝国学院) In this work, we present a nonparametric Bayesian method for multivariate volatility modeling. Our approach is based on postulation of a novel mixture...
热度：52
Platanios Emmanouil A(伦敦帝国学院) In this work, we present a nonparametric Bayesian method for multivariate volatility modeling. Our approach is based on postulation of a novel mixture...
热度：52
5Machine Learning Biological Network Models[机器学习的生物网络模型]
Stephen Muggleton(伦敦帝国学院) In this talk we survey work being conducted at the Centre for Integrative Systems Biology at Imperial College on the use of machine learning to build ...
热度：57
Stephen Muggleton(伦敦帝国学院) In this talk we survey work being conducted at the Centre for Integrative Systems Biology at Imperial College on the use of machine learning to build ...
热度：57
6Network topology as a source of information[网络拓扑信息的来源]
Nataša Pržulj(伦敦帝国学院) Many real-world phenomena can be represented as networks of interconnected entities. For example, individual genes are just a means to an end: they pr...
热度：74
Nataša Pržulj(伦敦帝国学院) Many real-world phenomena can be represented as networks of interconnected entities. For example, individual genes are just a means to an end: they pr...
热度：74
7Using sequential Monte Carlo approaches as a design tool in synthetic biology[在合成生物学中使用序贯蒙特卡罗方法作为设计工具]
Chris Barnes(伦敦帝国学院) In many engineering contexts it is easy to state what we want but hard to achieve our desired outcomes. The more potential solutions exist, the harder...
热度：60
Chris Barnes(伦敦帝国学院) In many engineering contexts it is easy to state what we want but hard to achieve our desired outcomes. The more potential solutions exist, the harder...
热度：60
8Artificial Intelligence and Human Thinking[人工智能与人类思维]
Robert Kowalski(伦敦帝国学院) Research in AI has built upon the tools and techniques of many different disciplines, including formal logic, probability theory, decision theory, man...
热度：73
Robert Kowalski(伦敦帝国学院) Research in AI has built upon the tools and techniques of many different disciplines, including formal logic, probability theory, decision theory, man...
热度：73
9Alan Turing and the Development of Artificial Intelligence[艾伦图灵和人工智能的发展]
Stephen Muggleton(伦敦帝国学院) 他出生艾伦图灵的百年校庆期间（1912-1954）已被广泛誉为具有计算机科学，奠定了基础，自动解密，系统生物学和图灵测试。在这次谈话中我们探讨图灵的动机和机器...
热度：69
Stephen Muggleton(伦敦帝国学院) 他出生艾伦图灵的百年校庆期间（1912-1954）已被广泛誉为具有计算机科学，奠定了基础，自动解密，系统生物学和图灵测试。在这次谈话中我们探讨图灵的动机和机器...
热度：69
10Plastic Card Fraud Detection using Peer Group Analysis[分析银行卡欺诈检测]
Dave Weston(伦敦帝国学院) Fraud detection describesmethods that attempt to identify fraudulent activity as quickly as possible. From a statistical methods perspective there are...
热度：232
Dave Weston(伦敦帝国学院) Fraud detection describesmethods that attempt to identify fraudulent activity as quickly as possible. From a statistical methods perspective there are...
热度：232