图 书 馆开课单位--多伦多大学
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41The 26th Annual CHI Conference on Human Factors in Computing Systems[第26届年度CHI会议计算系统中的人为因素]
Mike Wu(多伦多大学) CHI 2008 focuses on the balance between art and science, design and research, practical motivation and the process that leads the way to innovative ex...
热度：78
Mike Wu(多伦多大学) CHI 2008 focuses on the balance between art and science, design and research, practical motivation and the process that leads the way to innovative ex...
热度：78
42The Triple Revolution & The Turn to Networked Individualism[三重革命与网络个人主义的转向]
Barry Wellman(多伦多大学) I argue -- and provide evidence -- that the turn to social networks, the proliferation of the personal internet, and the carry-anywhere, always-on ava...
热度：70
Barry Wellman(多伦多大学) I argue -- and provide evidence -- that the turn to social networks, the proliferation of the personal internet, and the carry-anywhere, always-on ava...
热度：70
43Truth in Fan Fiction[粉丝小说中的真理]
Peter Ludlow(多伦多大学) The lecture is an introduction to "fan fiction" or "amateur fiction". The first part comprises philosophy and moves to fan fiction...
热度：52
Peter Ludlow(多伦多大学) The lecture is an introduction to "fan fiction" or "amateur fiction". The first part comprises philosophy and moves to fan fiction...
热度：52
44Flexible Priors for Exemplar-based Clustering[基于示例的集群的灵活先验]
Daniel Tarlow(多伦多大学) Exemplar-based clustering methods have been shown to produce state-of-the-art results on a number of synthetic and real-world clustering problems. The...
热度：32
Daniel Tarlow(多伦多大学) Exemplar-based clustering methods have been shown to produce state-of-the-art results on a number of synthetic and real-world clustering problems. The...
热度：32
45Bayesian Interpretations of RKHS Embedding Methods[rkhs嵌入方法的贝叶斯解释 ]
David Kristjanson Duvenaud(多伦多大学 ) We give a simple interpretation of mean embeddings as expectations under a Gaussian process prior. Methods such as kernel two-sample tests, the Hilber...
热度：75
David Kristjanson Duvenaud(多伦多大学 ) We give a simple interpretation of mean embeddings as expectations under a Gaussian process prior. Methods such as kernel two-sample tests, the Hilber...
热度：75
46A Gaussian Process View on MKL[关于mkl的高斯过程观点]
Raquel Urtasun(多伦多大学 ) Gaussian processes (GPs) provide an appealing probabilistic framework for multiple kernel learning (MKL). For more than a decade, it has been common p...
热度：57
Raquel Urtasun(多伦多大学 ) Gaussian processes (GPs) provide an appealing probabilistic framework for multiple kernel learning (MKL). For more than a decade, it has been common p...
热度：57
47Dropout: A simple and effective way to improve neural networks[“辍学”: 一种改进神经网络的简单有效方法]
Geoffrey E. Hinton(多伦多大学 ) In a large feedforward neural network, overfitting can be greatly reduced by randomly omitting half of the hidden units on each training case. This pr...
热度：58
Geoffrey E. Hinton(多伦多大学 ) In a large feedforward neural network, overfitting can be greatly reduced by randomly omitting half of the hidden units on each training case. This pr...
热度：58
48Deep Learning with Multiplicative Interactions[深度学习与乘法互动]
Geoffrey E. Hinton(多伦多大学) Deep networks can be learned efficiently from unlabeled data. The layers of representation are learned one at a time using a simple learning module th...
热度：42
Geoffrey E. Hinton(多伦多大学) Deep networks can be learned efficiently from unlabeled data. The layers of representation are learned one at a time using a simple learning module th...
热度：42
49Verification of the OWL-Time Ontology[验证OWL-Time本体]
Michael Grüninger(多伦多大学) Ontology verification is concerned with the relationship between the intended structures for an ontology and the models of the axiomatization of the o...
热度：30
Michael Grüninger(多伦多大学) Ontology verification is concerned with the relationship between the intended structures for an ontology and the models of the axiomatization of the o...
热度：30
50Video Player Deep Brain Stimulation Therapy for Movement Disorders[视频播放器深层脑刺激疗法治疗运动障碍]
Andres Lozano(多伦多大学) New tools are enabling neuroscientists to break therapeutic ground against daunting disorders like Parkinson’s Disease (PD). Andres Lozano is on...
热度：63
Andres Lozano(多伦多大学) New tools are enabling neuroscientists to break therapeutic ground against daunting disorders like Parkinson’s Disease (PD). Andres Lozano is on...
热度：63