开课单位--爱丁堡大学
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Multi-task Learning with Gaussian Processes[基于高斯过程的多任务学习 ]
Chris Williams(爱丁堡大学) We consider the problem of multi-task learning, i.e. the setup where there are multiple related prediction problems (tasks), and we seek to improve pr...
热度:128
Chris Williams(爱丁堡大学) We consider the problem of multi-task learning, i.e. the setup where there are multiple related prediction problems (tasks), and we seek to improve pr...
热度:128
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How Service Choreography Statistics Reduce the Ontology Mapping Problem[服务编排统计如何减少本体映射问题]
Paolo Besana(爱丁堡大学) In open and distributed environments ontology mapping provides interoperability between interacting actors. However, conventional mapping systems focu...
热度:36
Paolo Besana(爱丁堡大学) In open and distributed environments ontology mapping provides interoperability between interacting actors. However, conventional mapping systems focu...
热度:36
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An overview of artificial immune systems[人工免疫系统概述]
Richard Wheeler(爱丁堡大学) Artificial immune systems are a newly emerging paradigm for distributed machine learning that takes its organisational and representational cues from ...
热度:62
Richard Wheeler(爱丁堡大学) Artificial immune systems are a newly emerging paradigm for distributed machine learning that takes its organisational and representational cues from ...
热度:62
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Markov Chain Monte Carlo[动态模拟方法:马尔科夫链蒙特卡洛方法]
Iain Murray(爱丁堡大学) The Markov chain Monte Carlo method (MCMC) was produced in the early 1950s. It is a Monte Carlo method based on Bayesian theory and computer simulatio...
热度:96
Iain Murray(爱丁堡大学) The Markov chain Monte Carlo method (MCMC) was produced in the early 1950s. It is a Monte Carlo method based on Bayesian theory and computer simulatio...
热度:96
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Storage and delivery of medical gases using zeolites and metal-organic frameworks[使用沸石和金属有机框架存储和输送医用气体]
Russell Edward Morris(爱丁堡大学) It is quite a paradox that several gases that we normally think of as extremely toxic are in fact vital in mammalian biology (in the right amounts). N...
热度:34
Russell Edward Morris(爱丁堡大学) It is quite a paradox that several gases that we normally think of as extremely toxic are in fact vital in mammalian biology (in the right amounts). N...
热度:34
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Inexact Search Directions in Interior Point Methods for Large Scale Optimization[大规模优化内点法的不精确搜索方向]
Jacek Gondzio(爱丁堡大学) Interior Point Methods (IPMs) for linear and quadratic optimization have been very successful but occasionally they struggle with excessive memory req...
热度:31
Jacek Gondzio(爱丁堡大学) Interior Point Methods (IPMs) for linear and quadratic optimization have been very successful but occasionally they struggle with excessive memory req...
热度:31
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Introduction to Machine Learning[机器学习概论]
Iain Murray(爱丁堡大学) How can we represent data on a computer and use it to learn to perform useful tasks? This lecture reviews some simple classification and regression ru...
热度:45
Iain Murray(爱丁堡大学) How can we represent data on a computer and use it to learn to perform useful tasks? This lecture reviews some simple classification and regression ru...
热度:45
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Using Combinatory Categorial Grammars for Probabilistic Plan Recognition and Planning[使用组合范畴文法的概率规划识别和规划]
Christopher W. Geib(爱丁堡大学) **//Disclaimer:// VideoLectures.NET emphasizes we are not the authors of this recording.** Building intelligent systems that are capable of recognizin...
热度:56
Christopher W. Geib(爱丁堡大学) **//Disclaimer:// VideoLectures.NET emphasizes we are not the authors of this recording.** Building intelligent systems that are capable of recognizin...
热度:56
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Special Session: Projects in Multimodal Interaction - AMI[特别会议:多模式互动的项目-急性心肌梗死]
Steve Renals(爱丁堡大学)
热度:41
Steve Renals(爱丁堡大学)
热度:41