图 书 馆开课单位--纽约大学
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11Time Series Reconstruction via Machine Learning: Revealing Decadal Variability and Intermittency in the North Pacific Sector of a Coupled Climate Model[通过机器学习进行时间序列重构：在一个耦合气候模式下北太平洋板块的间歇性和年代际变化的揭示]
Dimitris Giannakis(纽约大学) Many processes in atmosphere-ocean science develop multiscale temporal and spatial patterns, with complex underlying dynamics and time-dependent exter...
热度：28
Dimitris Giannakis(纽约大学) Many processes in atmosphere-ocean science develop multiscale temporal and spatial patterns, with complex underlying dynamics and time-dependent exter...
热度：28
12Security, Privacy and Technology[安全,隐私和技术]
Branscomb Lewis M;Nadine Strossen;Kenneth Starr;Steven Levy;Charles Stuckey(纽约大学) New technologies allow individuals, corporations and government entities to monitor, track and identify employees, customers and the general public. T...
热度：36
Branscomb Lewis M;Nadine Strossen;Kenneth Starr;Steven Levy;Charles Stuckey(纽约大学) New technologies allow individuals, corporations and government entities to monitor, track and identify employees, customers and the general public. T...
热度：36
13Learning Representations: A Challenge for Learning Theory[学习表征：学习理论的挑战]
Yann LeCun(纽约大学) Perceptual tasks such as vision and audition require the construction of good features, or good internal representations of the input. Deep Learning d...
热度：125
Yann LeCun(纽约大学) Perceptual tasks such as vision and audition require the construction of good features, or good internal representations of the input. Deep Learning d...
热度：125
14Deep Natural Language Understanding[深刻的自然语言理解]
Kyunghyun Cho(纽约大学) In this lecture, I start with a claim that natural language understanding can largely be approached as building a better language model and explain th...
热度：33
Kyunghyun Cho(纽约大学) In this lecture, I start with a claim that natural language understanding can largely be approached as building a better language model and explain th...
热度：33
15The Unreasonable Effectivness Of Deep Learning[深度学习不合理的有效性]
Yann LeCun(纽约大学) The Unreasonable Effectivness Of Deep Learning，Deep Learning = Learning Hierarchical Representations，Discovering the Hidden Structure in High-Dimens...
热度：26
Yann LeCun(纽约大学) The Unreasonable Effectivness Of Deep Learning，Deep Learning = Learning Hierarchical Representations，Discovering the Hidden Structure in High-Dimens...
热度：26
16Theories of Everything[一切理论]
David W. Hogg(纽约大学) Cosmology, at the present day, works with static catalogs (of, say, galaxies) and point estimates of fundamental physical quantities (of, for example,...
热度：40
David W. Hogg(纽约大学) Cosmology, at the present day, works with static catalogs (of, say, galaxies) and point estimates of fundamental physical quantities (of, for example,...
热度：40
17Combining Information Retrieval and Information Extraction for Medical Intelligence[结合信息检索和信息提取的医学情报]
Roman Yangarber(纽约大学) Global epidemic and medical surveillance is an essential function of Public Health agencies, whose primary aim is to protect the public from major hea...
热度：65
Roman Yangarber(纽约大学) Global epidemic and medical surveillance is an essential function of Public Health agencies, whose primary aim is to protect the public from major hea...
热度：65
18Dark flash photography[暗闪光摄影]
Rob Fergus(纽约大学) 照相机闪光灯发出的光产生侵入干扰或眩。我们提出了一个原型相机和闪光灯使用红外线和紫外线主要在可见光范围内捕捉到在低光照条件下的图片。这个“黑暗&rd...
热度：64
Rob Fergus(纽约大学) 照相机闪光灯发出的光产生侵入干扰或眩。我们提出了一个原型相机和闪光灯使用红外线和紫外线主要在可见光范围内捕捉到在低光照条件下的图片。这个“黑暗&rd...
热度：64
19Generative Models for Relational Structures[关系结构的生成模型]
Edwin Hancock(纽约大学) We present a method for constructing a generative model for sets of graphs by adopting a minimum description length approach. The method is posed in t...
热度：34
Edwin Hancock(纽约大学) We present a method for constructing a generative model for sets of graphs by adopting a minimum description length approach. The method is posed in t...
热度：34
20Discussion of Erik Sudderth's talk: NPB Hype or Hope?[讨论Erik Sudderth的话：NPB炒作还是希望？]
Yann LeCun(纽约大学)
热度：47
Yann LeCun(纽约大学)
热度：47