图 书 馆开课单位--视频讲座网
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21Identifying civilians killed by police with distantly supervised entity-event extraction[通过远程监督实体-事件提取来识别被警察杀害的平民]
Brendan O'Connor(视频讲座网) We propose a new, socially-impactful task for natural language processing: from a news corpus, extract names of persons who have been killed by police...
热度：29
Brendan O'Connor(视频讲座网) We propose a new, socially-impactful task for natural language processing: from a news corpus, extract names of persons who have been killed by police...
热度：29
2223Incrementality Bidding & Attribution[递增竞价&归因]
Randall A. Lewis(视频讲座网) The causal effect of showing an ad to a potential customer versus not, commonly referred to as “incrementality,” is the fundamental questi...
热度：21
Randall A. Lewis(视频讲座网) The causal effect of showing an ad to a potential customer versus not, commonly referred to as “incrementality,” is the fundamental questi...
热度：21
24Spaceborne Data Enters the Mainstream[星载数据进入主流]
Nick Malizia(视频讲座网) Thanks to a diverse constellation of Earth observing satellites, humanity is effectively looking everywhere, at everything, all the time. And we'v...
热度：20
Nick Malizia(视频讲座网) Thanks to a diverse constellation of Earth observing satellites, humanity is effectively looking everywhere, at everything, all the time. And we'v...
热度：20
25Simplified OWL Ontology Editing: Is WebProtégé Enough?[简化OWL本体编辑:WebProtégé够吗?]
Matthew Horridge(视频讲座网) Ontology engineering is a task that is notorious for its difficulty. As the group that developed Protégé, the most widely used ontology ...
热度：27
Matthew Horridge(视频讲座网) Ontology engineering is a task that is notorious for its difficulty. As the group that developed Protégé, the most widely used ontology ...
热度：27
26Neural Programmer-Interpreters[神经程序解释器]
Scott Reed(视频讲座网) We propose the neural programmer-interpreter (NPI): a recurrent and compositional neural network that learns to represent and execute programs. NPI ha...
热度：38
Scott Reed(视频讲座网) We propose the neural programmer-interpreter (NPI): a recurrent and compositional neural network that learns to represent and execute programs. NPI ha...
热度：38
2728KATE: K-Competitive Autoencoder for Text[凯特:K——文本自动编码器]
Yu Chen(视频讲座网) Autoencoders have been successful in learning meaningful representations from image datasets. However, their performance on text datasets has not been...
热度：27
Yu Chen(视频讲座网) Autoencoders have been successful in learning meaningful representations from image datasets. However, their performance on text datasets has not been...
热度：27
29Incrementality Bidding & Attribution[增量竞价&归因]
Randall A. Lewis(视频讲座网) The causal effect of showing an ad to a potential customer versus not, commonly referred to as “incrementality,” is the fundamental questi...
热度：20
Randall A. Lewis(视频讲座网) The causal effect of showing an ad to a potential customer versus not, commonly referred to as “incrementality,” is the fundamental questi...
热度：20
30Multi-Task Recurrent Neural Network for Immediacy Prediction[基于多任务递归神经网络的即时性预测]
Xiao Chu(视频讲座网) In this paper, we propose to predict immediacy for interacting persons from still images. A complete immediacy set includes interactions, relative dis...
热度：23
Xiao Chu(视频讲座网) In this paper, we propose to predict immediacy for interacting persons from still images. A complete immediacy set includes interactions, relative dis...
热度：23