图 书 馆开课单位--牛津大学
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51Learning from the Masters: Understanding Ontologies found on the Web[学习大师：了解网上发现的本体]
Bernardo Cuenca Grau(牛津大学) The purpose of this tutorial is to help attendees gain sufficient experience of working with OWL and tools to allow them to fruitfully explore new ont...
热度：54
Bernardo Cuenca Grau(牛津大学) The purpose of this tutorial is to help attendees gain sufficient experience of working with OWL and tools to allow them to fruitfully explore new ont...
热度：54
52An introduction to Levy processes with financial modelling in mind[引入金融建模的列维过程导论]
Matthias Winkel(牛津大学) In this talk I will take some care to introduce the general class of Levy processes as well as the most relevant parametric families. I will explain h...
热度：47
Matthias Winkel(牛津大学) In this talk I will take some care to introduce the general class of Levy processes as well as the most relevant parametric families. I will explain h...
热度：47
53Integrated analysis of miRNA and mRNA expression profiling as a tool to identify prognostic markers and associated pathways[整合分析miRNA和mRNA表达谱，作为识别预后标志物和相关通路的工具]
Francesca Buffa(牛津大学) Micro-RNA (miRNA) expression and function have been shown to be highly dependent upon the experimental system considered. Here we present a systems vi...
热度：97
Francesca Buffa(牛津大学) Micro-RNA (miRNA) expression and function have been shown to be highly dependent upon the experimental system considered. Here we present a systems vi...
热度：97
54QCD for Postgraduates[用于研究生学习的QCD]
Giulia Zanderighi(牛津大学) Starting from the QCD Lagrangian we will revisit some basic QCD concepts and derive fundamental properties like gauge invariance and isospin symmetry ...
热度：53
Giulia Zanderighi(牛津大学) Starting from the QCD Lagrangian we will revisit some basic QCD concepts and derive fundamental properties like gauge invariance and isospin symmetry ...
热度：53
55Introduction to Particle Physics (for non particle physicists)[粒子物理学导论（面向对象非粒子物理学家）]
Frank Close(牛津大学) These lectures are an introduction to the ideas of particle physics, aimed at students and teachers with little or on knowledge of the subject. They f...
热度：129
Frank Close(牛津大学) These lectures are an introduction to the ideas of particle physics, aimed at students and teachers with little or on knowledge of the subject. They f...
热度：129
56Spatiotemporal Modelling of Intracellular Signalling in Bacterial Chemotaxis[细菌趋化过程中细胞内信号的时空模拟 ]
Marcus J. Tindall(牛津大学 ) Whilst theoretical models have been used to understand aspects of bacterial chemotaxis systems for the past thirty or so years, little work has focuse...
热度：26
Marcus J. Tindall(牛津大学 ) Whilst theoretical models have been used to understand aspects of bacterial chemotaxis systems for the past thirty or so years, little work has focuse...
热度：26
57Parameter Learning Using Approximate MAP Inference [基于近似映射推理的参数学习]
Pawan Kumar Mudigonda(牛津大学) In recent years, machine learning has seen the development of a series of algorithms for parameter learning that avoid estimating the partition functi...
热度：69
Pawan Kumar Mudigonda(牛津大学) In recent years, machine learning has seen the development of a series of algorithms for parameter learning that avoid estimating the partition functi...
热度：69
58Modelling Genetic Variations with Fragmentation-Coagulation Processes[用碎片-凝固过程模拟遗传变异]
Yee Whye Teh(牛津大学) We propose a novel class of Bayesian nonparametric models for sequential data called fragmentation-coagulation processes (FCPs). FCPs model a set of s...
热度：39
Yee Whye Teh(牛津大学) We propose a novel class of Bayesian nonparametric models for sequential data called fragmentation-coagulation processes (FCPs). FCPs model a set of s...
热度：39
59Repairing ontologies for incomplete reasoners[修复不完整的推理器本体]
Giorgos Stoilos(牛津大学) The need for scalable query answering often forces Semantic Web applications to use incomplete OWL 2 reasoners, which in some cases fail to derive all...
热度：27
Giorgos Stoilos(牛津大学) The need for scalable query answering often forces Semantic Web applications to use incomplete OWL 2 reasoners, which in some cases fail to derive all...
热度：27
60Learning To Count Objects in Images[学习计算图像中的对象]
Victor Lempitsky(牛津大学) We propose a new supervised learning framework for visual object counting tasks, such as estimating the number of cells in a microscopic image or the ...
热度：181
Victor Lempitsky(牛津大学) We propose a new supervised learning framework for visual object counting tasks, such as estimating the number of cells in a microscopic image or the ...
热度：181