开课单位--INRIA研究机构
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11
Bayesian nonparametric models for bipartite graphs[二分图的贝叶斯非参数模型]
  François Caron(INRIA研究机构) We develop a novel Bayesian nonparametric model for random bipartite graphs. The model is based on the theory of completely random measures and is abl...
热度:57

12
An Efficient P300-based Brain-Computer Interface with Minimal Calibration Time[一个基于P300拥有最小校准时间的高效脑-机接口]
  Fabien Lotte(INRIA研究机构) Brain-Computer Interfaces (BCI) are communication systems that enable subjects to send commands to computers by using only their brain activity [1]. M...
热度:37

13
Get Out of my Picture! Internet-based Inpainting[走出我的照片! 基于互联网的修补]
  Oliver Whyte(INRIA研究机构)  Computer Science; Image Analysis
热度:151

14
LSTD with Random Projections[LSTD的随机预测]
  Mohammad Ghavamzadeh(INRIA研究机构) We consider the problem of reinforcement learning in high-dimensional spaces when the number of features is bigger than the number of samples. In part...
热度:44

15
Examples of WSN applications through EU-funded projects[通过欧盟资助的项目的WSN的应用实例]
  David Simplot-Ryl(INRIA研究机构) In this talk an overview is given of different applications of wireless sensor networks developed in the framework of recent EU founded projects and c...
热度:53

16
Sparse Reinforcement Learning in High Dimensions[高维稀疏强化学习]
  Mohammad Ghavamzadeh(INRIA研究机构)
热度:46

17
Nonlinear functional regression: A functional RKHS approach[非线性函数方程:一种RKHS函数的方法]
  Hachem Kadri(INRIA研究机构) This paper deals with functional regression, in which the input attributes as well as the response are functions. To deal with this problem, we develo...
热度:61

18
Keep it simple![把事情简单化!]
  Olivier Nicol(INRIA研究机构)  把事情简单化!
热度:18

19
Algebras of ontology alignment relations[本体对齐关系的代数]
  Jérôme Euzenat(INRIA研究机构) Correspondences in ontology alignments relate two ontology entities with a relation. Typical relations are equivalence or subsumption. However, differ...
热度:23

20
A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences[具有Kullback-Leibler分歧的多武装匪徒问题的有限时间分析]
  Odalric-Ambrym Maillard(INRIA研究机构) We consider a Kullback-Leibler-based algorithm for the stochastic multi-armed bandit problem in the case of distributions with finite supports (not n...
热度:98
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