图 书 馆开课单位--马克斯普朗克研究所
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41Joint Kernel Support Estimation for Structured Prediction[结构化预测的联合核支持估计]
Christoph Lampert;Matthew B. Blaschko(马克斯普朗克研究所)
热度：37
Christoph Lampert;Matthew B. Blaschko(马克斯普朗克研究所)
热度：37
42Integrating Ontological Prior Knowledge into Relational Learning[本体论先验知识在关系学习中的整合]
Volker Tresp;Stefan Reckow(马克斯普朗克研究所)
热度：26
Volker Tresp;Stefan Reckow(马克斯普朗克研究所)
热度：26
43Entire Regularization Paths for Graph Data[图数据的整个正则化路径]
Koji Tsuda(马克斯普朗克研究所) Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processin...
热度：39
Koji Tsuda(马克斯普朗克研究所) Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processin...
热度：39
44Harvesting, Searching, and Ranking Knowledge from the Web[收获，搜索，Web知识排行]
Gerhard Weikum(马克斯普朗克研究所) There are major trends to advance the functionality of search engines to a more expressive semantic level. This is enabled by employing large-scale in...
热度：27
Gerhard Weikum(马克斯普朗克研究所) There are major trends to advance the functionality of search engines to a more expressive semantic level. This is enabled by employing large-scale in...
热度：27
45Object categorization with SVM: kernels for local features[支持向量机的目标分类：局部特征的核]
Jan Eichhorn(马克斯普朗克研究所) We will focus on object categorization. The basic idea is to combine the nice invariance propreties of local features with the robustness of SVM's...
热度：29
Jan Eichhorn(马克斯普朗克研究所) We will focus on object categorization. The basic idea is to combine the nice invariance propreties of local features with the robustness of SVM's...
热度：29
46Probing non-Gaussianities in the CMB with Minkowski Functionals and Scaling Indices using surrogates[利用闵可夫斯基泛函和使用代理标度指数来探测CMB中的非Gaussianities指标]
Heike Modest(马克斯普朗克研究所) We are analysing the cosmic microwave background (CMB) in respect to possible higher order correlations (HOCs) which would be indicators for non-Gauss...
热度：65
Heike Modest(马克斯普朗克研究所) We are analysing the cosmic microwave background (CMB) in respect to possible higher order correlations (HOCs) which would be indicators for non-Gauss...
热度：65
47Efficient space-variant blind deconvolution[有效的空间变异盲解卷积]
Stefan Harmeling(马克斯普朗克研究所) Blur in photos due to camera shake, blur in astronomical image sequences due to atmospheric turbulence, and blur in magnetic resonance imaging sequenc...
热度：48
Stefan Harmeling(马克斯普朗克研究所) Blur in photos due to camera shake, blur in astronomical image sequences due to atmospheric turbulence, and blur in magnetic resonance imaging sequenc...
热度：48
48Coherent inference on optimal play in game trees[游戏树中连贯推理的最佳玩法]
Philipp Hennig(马克斯普朗克研究所) Round-based games are an instance of discrete planning problems. Some of the best contemporary game tree search algorithms use random roll-outs as dat...
热度：47
Philipp Hennig(马克斯普朗克研究所) Round-based games are an instance of discrete planning problems. Some of the best contemporary game tree search algorithms use random roll-outs as dat...
热度：47
49System Identification Using Machine Learning Methods[采用机器学习方法的系统辨识]
Wichmann Felix A(马克斯普朗克研究所) Understanding perception and the underlying cognitive processes on a behavioral level requires a solution to the feature identification problem: Which...
热度：131
Wichmann Felix A(马克斯普朗克研究所) Understanding perception and the underlying cognitive processes on a behavioral level requires a solution to the feature identification problem: Which...
热度：131
50Probabilistic Inference for Graph Classification[图分类的概率推理]
Koji Tsuda(马克斯普朗克研究所) Graph data is getting increasingly popular in, e.g., bioinfor- matics and text processing. A main dificulty of graph data processing lies in the intri...
热度：33
Koji Tsuda(马克斯普朗克研究所) Graph data is getting increasingly popular in, e.g., bioinfor- matics and text processing. A main dificulty of graph data processing lies in the intri...
热度：33