开课单位--多伦多大学
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The 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:83
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:83
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The 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:73
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:73
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Truth 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:56
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:56
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Flexible 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:36
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:36
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Bayesian 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:81
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:81
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A 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:58
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:58
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Dropout: 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:61
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:61
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Deep 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:46
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:46
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Verification 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:34
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:34
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Video 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:65
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:65