Research Departments AlgorithmsandComplexity Teaching Winter 2023/24 Teaching - Winter 2023/24 Algorithmsand Data Structures Core Course (4+2). Lecturers: Karl Bringmann and Philip Wellnitz more Sublinear [...] Mehlhorn und Corinna Coupette more Algorithmsand Data Structures Sublinear Algorithms Ideen und Konzepte der Informatik [...] Sublinear Algorithms Advanced Course (2+1). Lecturers: Karl Bringmann and Nithin Varma more Ideen und Konzepte der Informatik Veranstaltung für Studierende anderer Fakultäten (2+2). Dozenten: Kurt Mehlhorn
Departments AlgorithmsandComplexity Teaching Winter 2024/25 Teaching - Winter 2024/25 Introduction to Algorithmsand Data Structures Core Course. Lecturer: Karl Bringmann. more Introduction to Algorithms and
Research Departments Databases and Information Systems Teaching Winter Semester 2017/18 Winter Semester 2017/18 Information Retrieval and Data Mining Information Retrieval (IR) and Data Mining (DM) is a core [...] learn what are the major tensor decompositions, what are the algorithms for computing them, and what are their primary applications, strengths, and weaknesses. more Knowledge Bases In this block seminar, we [...] will study the syntax and semantics of the main ontology and rule-based languages. On the practical side we will exploit the available tools for the knowledge representation and reasoning. more Information
sources, and combinations of the two. There will be choices between state-of-the-art systems and exemplary methods from the last five years, covering families of algorithms from template- and graph-based [...] Research Departments Databases and Information Systems Teaching Winter Semester 2020/21 Teaching - Winter Semester 2020/21 Commonsense knowledge extraction and consolidation In this advanced lecture, we [...] we cover topics around automated information extraction and canonicalization towards building domain-specific knowledge bases. more Selected Topics in Question Answering In this seminar, we will offer
insights and model advancements in the field of weakly supervised segmentation. In addition to providing datasets andalgorithm, we evaluate state-of-the-art segmentation models on our datasets and show that [...] Supervised Segmentation Across Datasets}, AUTHOR = {B{\"o}ttcher, Wolfgang and Hoyer, Lukas and Unal, Ozan and Lenssen, Jan Eric and Schiele, Bernt}, LANGUAGE = {eng}, URL = {https://arxiv.org/abs/2408.12489} [...] of novel methods and conclusive evaluations. To overcome this limitation, Scribbles for All provides scribble labels for several popular segmentation datasets and provides an algorithm to automatically
Theobald and Gerhard Weikum "Scalable Knowledge Harvesting with High Precision and High Recall" ( pdf ) 4th ACM International Conference on Web Search and Data Mining(WSDM 2011) Martin Theobald and Gerhard [...] entities and facts about their relationships, from Wikipedia and WordNet with careful integration of these two sources. The resulting knowledge base, coined YAGO, has very high precision and is freely [...] freely available. The facts are represented as RDF triples, and we have developed methods and prototype systems for querying, ranking, and exploring knowledge. Our search engine NAGA provides ranked answers
{COVID}-19 and Beyond}, AUTHOR = {Xia, Yiting and Zhang, Ying and Zhong, Zhizhen and Yan, Guanqing and Lim, Chiunlin and Ahuja, Satyajeet Singh and Bali, Soshant and Nikolaidis, Alexander and Ghobadi, Kimia [...] ent and Uncertainty-resilient Backbone Network Planning with Hose}, AUTHOR = {Ahuja, Satyajeet Singh and Gupta, Varun and Dangui, Vinayak and Bali, Soshant and Gopalan, Abishek and Zhong, Hao and Lapukhov [...] System for Reliable Network Management}, AUTHOR = {Xing, Jiarong and Hsu, Kuo-Feng and Xia, Yiting and Cai, Yan and Li, Yanping and Zhang, Ying and Chen, Ang}, LANGUAGE = {eng}, ISBN = {979-8-4007-0437-6}, DOI