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BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation [article]

Qiong Wu, Adam Hare, Sirui Wang, Yuwei Tu, Zhenming Liu, Christopher G. Brinton, Yanhua Li
2021 arXiv   pre-print
To tackle these issues, we design an unsupervised, computationally efficient methodology called BATS: Biclustering Approach to Topic modeling and Segmentation.  ...  Second is significant noise: a considerable portion of words in any single document will produce only noise and not help discern topics or segments.  ...  Given this, we term our overall solution BATS: Biclustering Approach for Topic modeling and Segmentation. 1.1.3 Idea 3: Optimize heuristics to analyze single documents.  ... 
arXiv:2008.02218v3 fatcat:m47vyx2avvgczber7ieoglf24q

Scientific Visualization 1 Executive Summary Creative Commons BY 3.0 Unported license

Min Chen, Charles Hansen, Penny Rheingans, Gerik Scheuermann, Charles Hansen, Min Penny, Rheingans Gerik, Scheuermann License, Charles Hansen, Min Chen, Penny Rheingans, Gerik Scheuermann
unpublished
It includes a discussion of the motivation and overall organization, an abstract from each of the participants, and a report from each of the working groups.  ...  This report documents the program and the outcomes of Dagstuhl Seminar 14231 "Scientific Visualization".  ...  In this talk, we will present two promising schemes: one is to use spectral graph analysis of correlation among axes and the other is to rely on biclustering to identify clusters of data samples and groups  ... 
fatcat:pxcuk3ko6fcmhhc5twpj7bbbna

Implementing decision tree-based algorithms in medical diagnostic decision support systems

Mohammad M. Ghiasi
2020
For classification problems, RF and ET employ a number of weak learners like CART to develop models for classification tasks.  ...  As a decision tree (DT), CART is fast to create, and it applies to both the quantitative and qualitative data.  ...  INTRODUCTION The last decades witnessed the utilization of machine learning and data mining approaches for investigating a large number of topics/problems in the realm of different sciences and engineering  ... 
doi:10.48336/exjj-3c11 fatcat:rppacflnondvnjho6utl3lszka

Scientific Visualization (Dagstuhl Seminar 14231) Design and Synthesis from Components (Dagstuhl Seminar 14232) Challenges in Analysing Executables: Scalability, Self-Modifying Code and Synergy (Dagstuhl Seminar 14241) Software Development Analytics (Dagstuhl Seminar 14261) Scripting Languages and Frameworks: Analysis and Verification (Dagstuhl Seminar 14271)

Min Chen, Charles Hansen, Penny Rheingans, Gerik Scheuermann, Jakob Rehof, Moshe, Roberto Giacobazzi, Axel Simon, Sarah, Harald Gall, Tim Menzies, Laurie Williams (+5 others)
2014 unpublished
We also thank all our collaborators for their insightful comments and edits to this report. m. c. schraefel and Elizabeth F. Churchill  ...  Since a few years, JavaScript is gaining more and more popularity as an implementation language for large applications. Consequently, there is a demand for SAST tools that support JavaScript.  ...  In this talk, we will present two promising schemes: one is to use spectral graph analysis of correlation among axes and the other is to rely on biclustering to identify clusters of data samples and groups  ... 
fatcat:gjk2mqy4yfhklemp55qvewks44