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Page 3847 of Mathematical Reviews Vol. , Issue 98F [page]

1998 Mathematical Reviews  
Sloan and Gyérgy Turan, Learning from incomplete boundary queries using split graphs and hypergraphs (extended abstract) (38-50); Joel Ratsaby and Vitaly Maiorov [V. E.  ...  Shinohara, Learning pattern lan- guages using queries (185-197); Andreas Birkendorf, On fast and simple algorithms for finding maximal subarrays and applications in learning theory (198-209); Peter Bartlett  ... 

Towards a Survey on Static and Dynamic Hypergraph Visualizations

Maximilian T. Fischer, Alexander Frings, Daniel A. Keim, Daniel Seebacher
2021 2021 IEEE Visualization Conference (VIS)  
using machine learning.  ...  structures, including a recent demand for a temporal representation of interaction networks and their improvements beyond graph-based methods.  ...  Sicherheit 2018 -2023" and its announcement "Zivile Sicherheit -Schutz vor organisierter Kriminalität II".  ... 
doi:10.1109/vis49827.2021.9623305 fatcat:7r6tflk7urdshcahv75vfjfteq

Towards a Survey on Static and Dynamic Hypergraph Visualizations [article]

Maximilian T. Fischer, Alexander Frings, Daniel A. Keim, Daniel Seebacher
2021 arXiv   pre-print
using machine learning.  ...  structures, including a recent demand for a temporal representation of interaction networks and their improvements beyond graph-based methods.  ...  Sicherheit 2018 -2023" and its announcement "Zivile Sicherheit -Schutz vor organisierter Kriminalität II".  ... 
arXiv:2107.13936v1 fatcat:vmme4ufgcze4lcxvuhn4xor3pq

STAR: A Benchmark for Situated Reasoning in Real-World Videos

Bo Wu, Shoubin Yu, Zhenfang Chen, Josh Tenenbaum, Chuang Gan
2021 Neural Information Processing Systems  
How to capture the present knowledge from surrounding situations and perform reasoning accordingly is crucial and challenging for machine intelligence.  ...  Reasoning in the real world is not divorced from situations.  ...  Acknowledgments and Disclosure of Funding We thank David Cox, Jessie Rosenberg, Luke Inglis, John Cohn for their helping and advice.  ... 
dblp:conf/nips/WuYC0G21 fatcat:zruvtrvf4jdklcgkkcrtfpblke

Joint Mention Extraction and Classification with Mention Hypergraphs

Wei Lu, Dan Roth
2015 Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing  
The model is highly scalable, with a time complexity that is linear in the number of words in the input sentence and linear in the number of possible mention classes.  ...  We present a novel model for the task of joint mention extraction and classification. Unlike existing approaches, our model is able to effectively capture overlapping mentions with unbounded lengths.  ...  This work is supported by Temasek Lab of Singapore University of Technology and Design project IGDSS1403011 and IGDST1403013, and is partly supported by DARPA (under agreement number FA8750-13-2-0008).  ... 
doi:10.18653/v1/d15-1102 dblp:conf/emnlp/LuR15 fatcat:ejmulvertneuli2wzi7fip4awy

Medical Intelligent System and Orthopedic Clinical Nursing Based on Graph Partition Sampling Algorithm

Xiucheng Heng, Yufei Chen, Lihong Liu, Jun Ye
2022 Computational Intelligence and Neuroscience  
Through studying, observing, and comparing many different types of graph partition sampling algorithms, this study represents the learning process sampling into three steps: sampling process, aggregation  ...  This study summarizes the process of graph partition sampling algorithm.  ...  For query results, commonly used row storage databases are MySQL and Oracle.  ... 
doi:10.1155/2022/2764157 pmid:35747719 pmcid:PMC9213159 fatcat:5lytseian5dilmcnwyd43hjlrq

Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS [article]

Feng Niu, Christopher Ré, AnHai Doan (University of Wisconsin-Madison), Jude Shavlik
2011 arXiv   pre-print
architecture that allows us to perform AI-style local search efficiently using an RDBMS, and (3) a theoretical insight that shows when one can (exponentially) improve the efficiency of stochastic local  ...  , entity resolution, and text mining.  ...  For example, we use SQL queries to "assign" clauses to atoms and to compute the partition of clauses from a partition of atoms.  ... 
arXiv:1104.3216v1 fatcat:mcg7nxa6wbeovhewnqllatgexu

Tuffy

Feng Niu, Christopher Ré, AnHai Doan, Jude Shavlik
2011 Proceedings of the VLDB Endowment  
architecture that allows us to perform AI-style local search efficiently using an RDBMS, and (3) a theoretical insight that shows when one can (exponentially) improve the efficiency of stochastic local  ...  , entity resolution, and text mining.  ...  For example, we use SQL queries to "assign" clauses to atoms and to compute the partition of clauses from a partition of atoms.  ... 
doi:10.14778/1978665.1978669 fatcat:4fj3ahejojdpthugkdvck4egfi

Sets, Graphs, and Things We Can See: A Formal Combinatorial Ontology for Empirical Intra-Site Analysis

J. Scott Cardinal
2019 Journal of Computer Applications in Archaeology  
and a well-studied class of set and graph covering problems.  ...  The data most typically used to identify interpretable patterns are derived from our unit locations and stratigraphic levels, section profiles, numerous maps and detailed plans in addition to any artefacts  ...  Comprehension of complex sets with hypergraphs In discrete mathematics, set theory and graph theory are closely related.  ... 
doi:10.5334/jcaa.16 fatcat:l6gbhdcnlbcsvatxjsbfd2ucim

A Review on Deep Learning Approaches for 3D Data Representations in Retrieval and Classifications

Abubakar Sulaiman Gezawa, Yan Zhang, Qicong Wang, Lei Yunqi
2020 IEEE Access  
Deep learning approach has been used extensively in image analysis tasks.  ...  However, implementing the methods in 3D data is a bit complex because most of the previously designed deep learning architectures used 1D or 2D as input.  ...  In this method, a hypergraph structure was used to encode high order data correlation in a hypergraph structure which is different from the normal graph that uses mandatory 2 for the degree for all edges  ... 
doi:10.1109/access.2020.2982196 fatcat:jnya5rscynf3zm7efuucqxafri

Abstracts of Recent PhDs

2010 Knowledge engineering review (Print)  
An important goal of inductive learning is to generate accurate and compact classifiers from data.  ...  In a typical inductive learning scenario, instances in a data set are simply represented as ordered tuples of attribute  ...  In particular, I extend the existing graph-based learning algorithms, currently based on undirected graphs to directed graphs, hypergraphs and complex networks.  ... 
doi:10.1017/s0269888910000226 fatcat:rbhe2vtt4vburdupv7cjioqg4y

Gravitate Project D3.1 Report On Shape Analysis And Matching And On Semantic Matching

Silvia Biasotti, Andrea Cerri, Chiara Catalano E., Bianca Falcidieno, Maria Laura Torrente, Stuart Middleton E., Leo Dorst, Ilan Shimshoni, Ayellet Tal, Dominic Oldman
2016 Zenodo  
This state of the art report describes the techniques of shape analysis, and of metadata search that have been already implemented in cultural heritage or we think are useful for the GRAVITATE project.  ...  These fields are relatively disjoint, and the research and development challenge of GRAVITATE is precisely to merge them.  ...  A lot of examples of graph-based learning use supervised learning or semi-supervised learning approaches.  ... 
doi:10.5281/zenodo.55432 fatcat:tc3rsykiufezxeper7ldew2ibu

Relational subscription middleware for Internet-scale publish-subscribe

Yuhui Jin, Rob Strom
2003 Proceedings of the 2nd international workshop on Distributed event-based systems - DEBS '03  
The monotonic type system is used both to formalize eventual correctness, and as a basis for our implementation, which generalizes the "Guaranteed Delivery" protocol previously implemented in the Gryphon  ...  messages while preserving high throughput, scalability, and reliability.  ...  This differs from our system in which the type system is expanded so that all queries are monotonic using a more generalized partial order.  ... 
doi:10.1145/966637.966638 fatcat:ejanhuamyvgqtan7xgcnxtarq4

Relational subscription middleware for Internet-scale publish-subscribe

Yuhui Jin, Rob Strom
2003 Proceedings of the 2nd international workshop on Distributed event-based systems - DEBS '03  
The monotonic type system is used both to formalize eventual correctness, and as a basis for our implementation, which generalizes the "Guaranteed Delivery" protocol previously implemented in the Gryphon  ...  messages while preserving high throughput, scalability, and reliability.  ...  This differs from our system in which the type system is expanded so that all queries are monotonic using a more generalized partial order.  ... 
doi:10.1145/966618.966638 dblp:conf/debs/JinS03 fatcat:y7f3w3s3arb7rfwdtpgi37dtxe

A Survey on Event Extraction for Natural Language Understanding: Riding the Biomedical Literature Wave

Giacomo Frisoni, Gianluca Moro, Antonella Carbonaro
2021 IEEE Access  
With the development of deep learning, the granularity of information extraction is evolving from entities and pairwise relations to events.  ...  To cope with the everincreasing number of publications, researchers are experiencing a surge of interest in extracting valuable, structured, concise, and unambiguous information from plain texts.  ...  G.F. conducted the review and wrote the manuscript. G.M. and A.C. supervised all steps of the work and revised each section.  ... 
doi:10.1109/access.2021.3130956 fatcat:wlr7zeikdva77ojuppqx3vmocy
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