图 书 馆开课单位--康奈尔大学
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11Convergent Learning: Do different neural networks learn the same representations?[收敛学习：不同的神经网络学习相同的表示吗？]
Jason Yosinski(康奈尔大学) Recent success in training deep neural networks have prompted active investigation into the features learned on their intermediate layers. Such resear...
热度：37
Jason Yosinski(康奈尔大学) Recent success in training deep neural networks have prompted active investigation into the features learned on their intermediate layers. Such resear...
热度：37
12Understanding User Sensemaking in Machine Learning Fairness Assessment Systems[理解机器学习公平性评估系统中的用户感知]
Jing Nathan Yan(康奈尔大学) Understanding User Sensemaking in Machine Learning Fairness Assessment Systems
热度：30
Jing Nathan Yan(康奈尔大学) Understanding User Sensemaking in Machine Learning Fairness Assessment Systems
热度：30
13Random Graphs with Prescribed K-Core Sequences: A New Null Model for Network Analysis[具有规定K核序列的随机图：一种新的网络分析零模型]
Katherine Van Koevering(康奈尔大学) Random Graphs with Prescribed K-Core Sequences: A New Null Model for Network Analysis
热度：31
Katherine Van Koevering(康奈尔大学) Random Graphs with Prescribed K-Core Sequences: A New Null Model for Network Analysis
热度：31
14On the Interplay between Social and Topical Structure[论社会结构与主题结构的相互作用]
Chenhao Tan(康奈尔大学) People’s interests and people’s social relationships are intuitively connected, but understanding their interplay and whether they can hel...
热度：56
Chenhao Tan(康奈尔大学) People’s interests and people’s social relationships are intuitively connected, but understanding their interplay and whether they can hel...
热度：56
15Scene Chronology[场景年表]
Kevin Matzen(康奈尔大学) We present a new method for taking an urban scene reconstructed from a large Internet photo collection and reasoning about its change in appearance th...
热度：30
Kevin Matzen(康奈尔大学) We present a new method for taking an urban scene reconstructed from a large Internet photo collection and reasoning about its change in appearance th...
热度：30
16On Feature Selection, Bias-Variance, and Bagging[特征选择、偏差方差和装袋]
M. Arthur Munson(康奈尔大学) We examine the mechanism by which feature selection improves the accuracy of supervised learning. An empirical bias/variance analysis as feature selec...
热度：32
M. Arthur Munson(康奈尔大学) We examine the mechanism by which feature selection improves the accuracy of supervised learning. An empirical bias/variance analysis as feature selec...
热度：32
17Challenges for AI in Computational Sustainability[人工智能在计算的可持续性方面面临的挑战]
Carla P. Gomes(康奈尔大学) **//Disclaimer:// VideoLectures.NET emphasizes that the quality of this video was notably improved, because of poor sound quality conditions provided ...
热度：29
Carla P. Gomes(康奈尔大学) **//Disclaimer:// VideoLectures.NET emphasizes that the quality of this video was notably improved, because of poor sound quality conditions provided ...
热度：29
18Dynamic Ranked Retrieval[动态排名检索]
Thorsten Joachims(康奈尔大学) We present a theoretically well-founded retrieval model for dynamically generating rankings based on interactive user feedback. Unlike conventional ra...
热度：61
Thorsten Joachims(康奈尔大学) We present a theoretically well-founded retrieval model for dynamically generating rankings based on interactive user feedback. Unlike conventional ra...
热度：61
19Trade-Offs in Sampling-Based Adversarial Planning[基于抽样的对抗规划中的权衡 ]
Raghuram Ramanujan(康奈尔大学) The Upper Confidence bounds for Trees (UCT) algorithm has in recent years captured the attention of the planning and game-playing community due to its...
热度：38
Raghuram Ramanujan(康奈尔大学) The Upper Confidence bounds for Trees (UCT) algorithm has in recent years captured the attention of the planning and game-playing community due to its...
热度：38
20Attention By Proxy? Issues in Audience Awareness for Webcasts to Distributed Groups[注意代理?分布式网络广播的受众意识问题]
Jeremy Birnholtz(康奈尔大学) Presents findings from a study of how classroom instructors pay attention to their students, and implications for displaying images of remote particip...
热度：47
Jeremy Birnholtz(康奈尔大学) Presents findings from a study of how classroom instructors pay attention to their students, and implications for displaying images of remote particip...
热度：47