开课单位--KDD 2016研讨会

1
Deep‐Learning: Investigating feed‐forward Deep Neural Networks hyper‐parameters and Comparison of Performance to Shallow Methods for Modeling Bioactivity Data[深度学习：研究前馈深度神经网络超参数，并与浅层生物活性数据建模方法进行性能比较]
  Jun (Luke) Huan(KDD 2016研讨会) In recent years, research in Artificial Neural Networks (ANNs) has resurged, now under the Deep-Learning umbrella, and grown extremely popular due to ...
热度：5

2
Visual Product Discovery[视觉产品发现]
  Phil Long(KDD 2016研讨会) We describe a system, Sentient Aware, that allows a user to interactively navigate through a catalog by viewing and clicking on images of products. Wh...
热度：11

3
Making an Idea Machine: Modular Architecture for a Scaleable Exploratory Data Analysis Platform in Genomics, Sports and Beyond[制造创意机器：基因组学、体育等领域可扩展探索性数据分析平台的模块化架构]
  Jesse Paquette(KDD 2016研讨会) Exploratory data analysis has been a core facilitator of discovery in genomics research over the last 20 years. The critical advancement in the field ...
热度：10

4
Film2Vec: A Feature-based Film Distributed Representation for Rating Prediction[一种用于评级预测的基于特征的电影分布式表示]
  (KDD 2016研讨会) Film2Vec: A Feature-based Film Distributed Representation for Rating Prediction
热度：5

5
Predicting Trust Relations Among Users in a Social Network: The Role of Influence, Cohesion and Valence[预测社交网络中用户之间的信任关系]
  Nikhita Vedula(KDD 2016研讨会) Trust is a key concept in social networks, reflecting credibility and reliability for a multitude of participants and online data. Nevertheless, the m...
热度：6

6
AnonyMine: Mining anonymous social media posts using psycho-lingual and crowd-sourced dictionaries[使用心理语言和众包词典挖掘匿名社交媒体帖子]
  Arindam Paul(KDD 2016研讨会) There is lot of research activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, senti...
热度：6

7
Temporal Learning in Video Data Using Deep Learning and Gaussian Processes[基于深度学习和高斯过程的视频数据时间学习]
  Abhishek Srivastav(KDD 2016研讨会) This paper presents an approach for data-driven modeling of hidden, stationary temporal dynamics in sequential images or vidoes using deep learning an...
热度：3

8
A Classifier Development Process for Mechanical Health Diagnostics on US Army Rotorcraft[美国陆军旋翼机机械健康诊断分类器开发过程]
  Andrew W. Wilson(KDD 2016研讨会) Due to various historical events, the Aviation Engineering Directorate (AED) of the United States Army has a unique, large data set describing the mec...
热度：6

9
Custom Large-Scale Application Management for Verizon Use Cases[Verizon用例的定制大规模应用程序管理]
  Santanu Das(KDD 2016研讨会) Custom Large-Scale Application Management for Verizon Use Cases
热度：10

10
Bridging the gap between domain experts and machine learning[弥合领域专家和机器学习之间的差距]
  (KDD 2016研讨会) Bridging the gap between domain experts and machine learning
热度：6