图 书 馆开课单位--弗劳恩霍夫协会
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1Plan 4Business - A service platform for aggregation, processing and analysis of urban and regional planning data[Plan 4Business - 一个用于城市和区域规划数据的汇总，处理和分析的服务平台]
Joachim Rix(弗劳恩霍夫协会) Urban and Regional Planning data sets are not aggregated so far, and thus it is very difficult to use them for any other purpose than for printing of ...
热度：57
Joachim Rix(弗劳恩霍夫协会) Urban and Regional Planning data sets are not aggregated so far, and thus it is very difficult to use them for any other purpose than for printing of ...
热度：57
2Open Vocabulary Speech Analysis in VITALAS[在VITALAS中的开放式词汇语音分析]
Daniel Schneider(弗劳恩霍夫协会) Automatic indexing of TV and radio speech data requires robust components for both speech recognition and spoken document retrieval. Due to the high t...
热度：62
Daniel Schneider(弗劳恩霍夫协会) Automatic indexing of TV and radio speech data requires robust components for both speech recognition and spoken document retrieval. Due to the high t...
热度：62
3Semantic Relation Extraction With Kernels Over Typed Dependency Trees[基于类型依赖树的核的语义关系抽取]
Frank Reichartz(弗劳恩霍夫协会) An important step for understanding the semantic content of text is the extraction of semantic relations between entities in natural language document...
热度：35
Frank Reichartz(弗劳恩霍夫协会) An important step for understanding the semantic content of text is the extraction of semantic relations between entities in natural language document...
热度：35
4The Value of Big Data - From Data-Driven Enterprises to a Data-driven Economy[大数据的价值——从数据驱动企业到数据驱动经济]
Stefan Wrobel(弗劳恩霍夫协会) The phenomenon of Big Data has captured the imagination of businesses, public bodies and society as a whole. Technical advances in computer science se...
热度：49
Stefan Wrobel(弗劳恩霍夫协会) The phenomenon of Big Data has captured the imagination of businesses, public bodies and society as a whole. Technical advances in computer science se...
热度：49
5On Subgroup Discovery in Numerical Domains[在数值域亚群的发现]
Henrik Grosskreutz(弗劳恩霍夫协会) Subgroup discovery is a Knowledge Discovery task that aims at finding subgroups of a population with high generality and distributional unusualness. W...
热度：38
Henrik Grosskreutz(弗劳恩霍夫协会) Subgroup discovery is a Knowledge Discovery task that aims at finding subgroups of a population with high generality and distributional unusualness. W...
热度：38
6Larger Residuals Less Work: Active Document Scheduling for Latent Dirichlet Allocation[较大的残差较少的工作：活动文档调度隐含狄利克雷分布]
Mirwaes Wahabzada(弗劳恩霍夫协会) Recently, there have been considerable advances in fast inference for latent Dirichlet allocation (LDA). In particular, stochastic optimization of the...
热度：77
Mirwaes Wahabzada(弗劳恩霍夫协会) Recently, there have been considerable advances in fast inference for latent Dirichlet allocation (LDA). In particular, stochastic optimization of the...
热度：77
7Estimating the Joint AUC of Labelled and Unlabelled Data[估计标记的和未标记的数据联合AUC]
Thomas Gartner(弗劳恩霍夫协会) author: Thomas Gartner, Fraunhofer IAIS published: Feb. 25, 2007, recorded: December 2006, views: 114
热度：45
Thomas Gartner(弗劳恩霍夫协会) author: Thomas Gartner, Fraunhofer IAIS published: Feb. 25, 2007, recorded: December 2006, views: 114
热度：45
8Algorithms for Predicting Structured Data[算法预测结构化数据]
Thomas Gartner, Shankar Vembu(弗劳恩霍夫协会) Structured prediction is the problem of predicting multiple outputs with complex internal structure and dependencies among them. Algorithms and models...
热度：61
Thomas Gartner, Shankar Vembu(弗劳恩霍夫协会) Structured prediction is the problem of predicting multiple outputs with complex internal structure and dependencies among them. Algorithms and models...
热度：61
9Audio Content Search[音频内容检索]
Joachim Köhler(弗劳恩霍夫协会) Dr. Joachim Köhler showed several techniques and applications in the area of audio content search. Robust segmentation algorithms were applied to...
热度：84
Joachim Köhler(弗劳恩霍夫协会) Dr. Joachim Köhler showed several techniques and applications in the area of audio content search. Robust segmentation algorithms were applied to...
热度：84
10The Cost of Learning Directed Cuts[学习定向削减成本]
Thomas Gartner(弗劳恩霍夫协会) Classifying vertices in digraphs is an important machine learning setting with many applications. We consider learning problems on digraphs with three...
热度：35
Thomas Gartner(弗劳恩霍夫协会) Classifying vertices in digraphs is an important machine learning setting with many applications. We consider learning problems on digraphs with three...
热度：35