图 书 馆开课单位--爱丁堡大学
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11Multi-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
12How 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
13An 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
14Markov 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
15Storage 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
16Inexact 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
17Introduction 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
18Using 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
1920Special 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