distance measure | Jan Strappa https://jstrappa.netlify.app/tag/distance-measure/ distance measure Wowchemy (https://wowchemy.com)en-usFri, 01 Jul 2022 00:00:00 +0000 https://jstrappa.netlify.app/media/icon_hua2ec155b4296a9c9791d015323e16eb5_11927_512x512_fill_lanczos_center_3.png distance measure https://jstrappa.netlify.app/tag/distance-measure/ Comparación eficiente de estructuras de independencia de modelos loglineales https://jstrappa.netlify.app/publication/thesis/ Fri, 01 Jul 2022 00:00:00 +0000 https://jstrappa.netlify.app/publication/thesis/ <p>My thesis (in Spanish) for the degree of <em>Doctor in Computer Science</em> by <em>Universidad Nacional de San Luis</em> (Argentina).</p> <p>Related publications:</p> <ul> <li><a href="content/publication/escllm">Journal article</a></li> <li><a href="https://github.com/jstrappa/jllcm" target="_blank" rel="noopener">Open source implementation in Java</a>, which can also be found at <a href="https://figshare.com/articles/software/ECSLLM_Java_Implementation/14666163" target="_blank" rel="noopener">Figshare as ECSLLM: Java Implementation</a></li> <li><a href="https://figshare.com/articles/software/KL-divergence_implementation/14668473" target="_blank" rel="noopener">Open source implementation of KL-divergence</a> (competitor measure used in examples)</li> <li><a href="https://jstrappa.shinyapps.io/llmc/" target="_blank" rel="noopener">Shiny app for example of the method</a></li> </ul> Efficient comparison of independence structures of log-linear models https://jstrappa.netlify.app/publication/escllm/ Thu, 13 May 2021 00:00:00 +0000 https://jstrappa.netlify.app/publication/escllm/ <p>Links:</p> <ul> <li><a href="https://arxiv.org/abs/1907.08892" target="_blank" rel="noopener">arXiv paper</a></li> <li><a href="https://github.com/jstrappa/jllcm" target="_blank" rel="noopener">Open source implementation in Java</a>, which can also be found at <a href="https://figshare.com/articles/software/ECSLLM_Java_Implementation/14666163" target="_blank" rel="noopener">Figshare as ECSLLM: Java Implementation</a></li> <li><a href="https://figshare.com/articles/software/KL-divergence_implementation/14668473" target="_blank" rel="noopener">Open source implementation of KL-divergence</a> (competitor measure used in examples)</li> <li><a href="https://jstrappa.shinyapps.io/llmc/" target="_blank" rel="noopener">Shiny app for example of the method</a></li> </ul>