开课单位--柏林理工大学
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Brain Computer Interfaces[脑机接口]
Klaus Robert Müller(柏林理工大学) Brain Computer Interfacing (BCI) aims at making use of brain signals for e.g. the control of objects, spelling, gaming and so on. This tutorial will f...
热度:124
Klaus Robert Müller(柏林理工大学) Brain Computer Interfacing (BCI) aims at making use of brain signals for e.g. the control of objects, spelling, gaming and so on. This tutorial will f...
热度:124

Mental State Decoding and Applications of Neurotechnology[心理解码与应用技术]
Benjamin Blankertz(柏林理工大学) This talk will present several novel applications of neurotechnology that exploit techniques developed in BCI research. Differently from BCI research,...
热度:84
Benjamin Blankertz(柏林理工大学) This talk will present several novel applications of neurotechnology that exploit techniques developed in BCI research. Differently from BCI research,...
热度:84

I Tag, You Tag: Translating Tags for Advanced User Models[我标签,您标签:翻译高级用户模型的标签]
Robert Wetzker(柏林理工大学) Collaborative tagging services (folksonomies) have been among the stars of the Web 2.0 era. They allow their users to label diverse resources with fre...
热度:72
Robert Wetzker(柏林理工大学) Collaborative tagging services (folksonomies) have been among the stars of the Web 2.0 era. They allow their users to label diverse resources with fre...
热度:72

Weak noise approximate inference for diffusion models[扩散模型的弱噪声近似推理 ]
Andreas Ruttor(柏林理工大学) The modelling of the Stochastic Kinetics of biochemical networks by stochastic dierential equations (SDE) has been successfully used as a basis for s...
热度:79
Andreas Ruttor(柏林理工大学) The modelling of the Stochastic Kinetics of biochemical networks by stochastic dierential equations (SDE) has been successfully used as a basis for s...
热度:79

Averaging Support Vector Machines for Processing Large Data Sets[处理大数据集的平均支持向量机]
Jochen Garcke(柏林理工大学) The handling of large data sets by support vector machines (SVMs)(Vapnik, 1998) employing a nonlinear kernel suffers from the non-linear scaling of th...
热度:100
Jochen Garcke(柏林理工大学) The handling of large data sets by support vector machines (SVMs)(Vapnik, 1998) employing a nonlinear kernel suffers from the non-linear scaling of th...
热度:100
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