图 书 馆开课单位--INRIA研究机构
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1For knowledge[对于知识]
Jérôme Euzenat(INRIA研究机构) A large range of animals are able to learn from their environment, but human beings are special among them because they can articulate knowledge and t...
热度：58
Jérôme Euzenat(INRIA研究机构) A large range of animals are able to learn from their environment, but human beings are special among them because they can articulate knowledge and t...
热度：58
2Computer algebra for lattice path combinatorics[格子路径组合的计算机代数]
Alin Bostan(INRIA研究机构) Classifying lattice walks in restricted lattices is an important problem in enumerative combinatorics. Recently, computer algebra has been used to exp...
热度：68
Alin Bostan(INRIA研究机构) Classifying lattice walks in restricted lattices is an important problem in enumerative combinatorics. Recently, computer algebra has been used to exp...
热度：68
3Oscillatory EEG-based BCI design: signal processing and more[基于振荡脑电的脑机接口设计：信号处理等]
Fabien Lotte(INRIA研究机构) This lecture proposes an accessible introduction to the design of Brain-Computer Interfaces (BCI) based on oscillatory EEG activity (e.g., motor image...
热度：53
Fabien Lotte(INRIA研究机构) This lecture proposes an accessible introduction to the design of Brain-Computer Interfaces (BCI) based on oscillatory EEG activity (e.g., motor image...
热度：53
4Online Markov Decision Processes under Bandit Feedback[Bandit反馈下的在线Markov决策过程]
Gergely Neu(INRIA研究机构) We consider online learning in finite stochastic Markovian environments where in each time step a new reward function is chosen by an oblivious advers...
热度：45
Gergely Neu(INRIA研究机构) We consider online learning in finite stochastic Markovian environments where in each time step a new reward function is chosen by an oblivious advers...
热度：45
5High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning[通过分层核学习进行高维非线性变量选择]
Francis R. Bach(INRIA研究机构) We consider the problem of high-dimensional non-linear variable selection for supervised learning. Our approach is based on performing linear selectio...
热度：60
Francis R. Bach(INRIA研究机构) We consider the problem of high-dimensional non-linear variable selection for supervised learning. Our approach is based on performing linear selectio...
热度：60
63D Visibility and Lines in Space[空间中的三维可见性和线条]
Sylvain Lazard(INRIA研究机构) Computing visibility information in a 3D environment is crucial to many applications such as computer graphics, vision and robotics. Typical visibilit...
热度：88
Sylvain Lazard(INRIA研究机构) Computing visibility information in a 3D environment is crucial to many applications such as computer graphics, vision and robotics. Typical visibilit...
热度：88
7Asymptotic Statistical Analysis of Time Series: Clustering, Change Point, and Other Problems[时间序列的渐近统计分析：聚类、变点和其它问题]
Daniil Ryabko(INRIA研究机构) A method for constructing asymptotically consistent efficient algorithms for various statistical problems concerning stationary ergodic time series is...
热度：52
Daniil Ryabko(INRIA研究机构) A method for constructing asymptotically consistent efficient algorithms for various statistical problems concerning stationary ergodic time series is...
热度：52
8Certified Mesh Generation[认证网络生成]
Jean-Daniel Boissonnat(INRIA研究机构) Given a domain D, the problem of mesh generation is to construct a simplicial complex that approximates D in both a topological and a geometrical sens...
热度：38
Jean-Daniel Boissonnat(INRIA研究机构) Given a domain D, the problem of mesh generation is to construct a simplicial complex that approximates D in both a topological and a geometrical sens...
热度：38
9Hierarchical Analysis of Piecewise Affine Models of Gene Regulatory Networks[基因调控网络分段仿射模型的层次分析]
Laurent Tournier(INRIA研究机构) We propose in this paper a method to hierarchically organize a certain type of piecewise affine differential system. This specific class of dynamical ...
热度：107
Laurent Tournier(INRIA研究机构) We propose in this paper a method to hierarchically organize a certain type of piecewise affine differential system. This specific class of dynamical ...
热度：107
10Link key candidate extraction with relational concept analysis[链接关键候选人提取与关系概念分析]
Jérôme David(INRIA研究机构) Link key candidate extraction with relational concept analysis
热度：34
Jérôme David(INRIA研究机构) Link key candidate extraction with relational concept analysis
热度：34