开课单位--德克萨斯大学

41
Can the Ambiance of a Place be Determined by the User Profiles of the People Who Visit It?[一个地方的环境能否由访问它的人的用户档案决定?]
  Sam Gosling(德克萨斯大学) Recently, several online social networking sites (OSNs; e.g., FourSquare) have emerged that allow people to record and broadcast their presence at phy...
热度:36

42
Inference Web in Action: Lightweight Use of the Proof Markup Language[推理网络:证明标记语言的轻量级使用]
  Paulo Pinheiro da Silva(德克萨斯大学) The Inference Web infrastructure for web explanations together with its underlying Proof Markup Language (PML) for encoding justification and provenan...
热度:70

43
Slowly but surely, Bayesian ideas revolutionize medical research[缓慢但肯定的是,贝叶斯思想彻底改变了医学研究]
  Peter Mueller, Donald A. Berry(德克萨斯大学) Bayesian theory is elegant and intuitive. But elegance may have little value in practical settings. The “Bayesian Revolution” of the last ...
热度:66

44
Mining for the Most Certain Predictions from Dyadic Data [从二元数据中挖掘最确定的预测
  Meghana Deodhar(德克萨斯大学) In several applications involving regression or classification, along with making predictions it is important to assess how accurate or reliable indiv...
热度:69

45
Probabilistic Models for Data Combination in Recommender Systems[推荐系统中数据组合的概率模型]
  Sinead Williamson(德克萨斯大学) We propose a method for jointly learning multiple related matrices, and show that, by sharing information between the two matrices, such an approach a...
热度:37

46
Reinforcement Learning for Embodied Cognition [加强对具体认知的学习]
  Dana H. Ballard(德克萨斯大学) The enormous progress in instrumentation for measuring brain states has made it possible to tackle the large issue of an overall model of brain comput...
热度:51

47
Time-rescaling Methods for the Estimation and Assessment of Non-Poisson Neural Encoding Models[用于估计和评估非泊松神经编码模型的时间重标方法]
  Jonathan Pillow(德克萨斯大学) Recent work on the statistical modeling of neural responses has focused on modulated renewal processes in which the spike rate is a function of the st...
热度:54

48
Active learning of neural response functions with Gaussian processes[高斯过程神经响应函数的主动学习]
  Mijung Park(德克萨斯大学) A sizable literature has focused on the problem of estimating a low-dimensional feature space capturing a neuron's stimulus sensitivity. However, ...
热度:77

49
Search Query Disambiguation from Short Sessions[短会话中的搜索查询的消歧]
  Lilyana Mihalkova, Raymond J. Mooney(德克萨斯大学) Web searches tend to be short and ambiguous. It is therefore not surprising that Web query disambiguation is an actively researched topic. However, mo...
热度:19

50
A Dirty Model for Multi-task Learning[多任务学习的垢模型]
  Ali Jalali(德克萨斯大学) We consider the multiple linear regression problem, in a setting where some of the set of relevant features could be shared across the tasks. A lot of...
热度:30