开课单位--推特公司
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Neural Networks[神经网络]
  Hugo Larochelle(推特公司) In this lecture, I will cover the basic concepts behind feedforward neural networks. The talk will be split into 2 parts. In the first part, I'll ...
热度：56

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Large Scale Learning at Twitter[推特的大规模学习]
  Aleksander Kołcz;Marko Grobelnik(推特公司) Twitter represents a large complex network of users with diverse and continuously evolving interests. Discussions and interactions range from very sma...
热度：41

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Genre-Based Decomposition of Email Class Noise[基于类型的电子邮件类噪声分解]
  Aleksander Kołcz(推特公司) 由类标签噪声数据腐败是一个重要的现实关注影响许多分类问题。研究了数据清洗技术通常假设一个统一的标签噪声模型，然而，这是很少在实践中实现。相对很少了解，...
热度：50

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Named Entity Mining from Click-Through Data Using Weakly Supervised Latent Dirichlet Allocation[命名实体挖掘—通过使用弱监督潜在的狄利克雷分配数据]
  Shuang-Hong Yang; Gu Xu(推特公司) This paper addresses Named Entity Mining (NEM), in which we mine knowledge about named entities such as movies, games, and books from a huge amount of...
热度：63

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Upping the Baseline for High-Precision Text Classifiers [提高高精度文本分类器的基线]
  Aleksander Kołcz(推特公司) Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Nai...
热度：53
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