开课单位--米兰大学
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11
Combined Structured and Keyword-Based Search in Textually Enriched Entity-Relationship Graphs[结合结构化和基于关键字的检索文本丰富的实体关系图]
  Davide Magatti(米兰大学) We present a novel method to combine simple, exible, keyword-based search with expressive structured queries. We assume that an entity-relationship gr...
热度：43

12
Semantically-enabled Optimization of Digital Marketing Campaigns[语义支持的数字营销活动优化]
  Vincenzo Cutrona(米兰大学) Semantically-enabled Optimization of Digital Marketing Campaigns
热度：33

13
Simple Ensemble Methods Are Competitive With State-Of-The-Art Data Integration Methods For Gene Function Prediction[简单的搭配方法与先进的竞争为基因功能预测的数据集成方法]
  Matteo Re(米兰大学)
热度：36

14
On the Diversity and Availability of Temporal Information in Linked Open Data[论关联开放数据中时间信息的多样性和可用性]
  Anisa Rula(米兰大学) An increasing amount of data is published and consumed on the Web according to the Linked Data paradigm. In consideration of both publishers and consu...
热度：42

15
On the Diversity and Availability of Temporal Information in Linked Open Data[关于链接开放数据中时态信息的多样性和可用性]
  Matteo Palmonari(米兰大学)
热度：41

16
On-line linear learning algorithms[在线性学习算法]
  Nicolò Cesa-Bianchi(米兰大学) Prediction with expert advice. Learning with linear experts. The Perceptron algorithm and its extensions. On-line learning with kernels. Mistake bound...
热度：65

17
TP3 Partial or Delayed Feedback[TP3部分或延迟反馈]
  Nicolò Cesa-Bianchi(米兰大学)
热度：26

18
Multiarmed Bandits and Partial Monitoring Exploration and Exploitation using Upper Confidence Bounds[多臂土匪和部分监测的勘探和开发利用上的置信区间]
  Nicolò Cesa-Bianchi(米兰大学)
热度：45

19
Bandit Algorithms for Online Linear Optimization[在线线性优化算法]
  Nicolò Cesa-Bianchi(米兰大学) In the online linear optimization problem a forecaster chooses, at each time instance, a vector x from a certain given subset S of the D-dimensional E...
热度：524

20
On-line learning algorithms: theory and practice[在线学习算法：理论与实践]
  Nicolò Cesa-Bianchi(米兰大学)
热度：48
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