ºÝºÝߣshows by User: liorrokach / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: liorrokach / Sun, 12 Jul 2015 17:29:13 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: liorrokach Decision Forest: Twenty Years of Research /slideshow/dmbi-talk/50440868 dmbitalk-150712172913-lva1-app6892
A decision tree is a predictive model that recursively partitions the covariate's space into subspaces such that each subspace constitutes a basis for a different prediction function. Decision trees can be used for various learning tasks including classification, regression and survival analysis. Due to their unique benefits, decision trees have become one of the most powerful and popular approaches in data science. Decision forest aims to improve the predictive performance of a single decision tree by training multiple trees and combining their predictions.]]>
A decision tree is a predictive model that recursively partitions the covariate's space into subspaces such that each subspace constitutes a basis for a different prediction function. Decision trees can be used for various learning tasks including classification, regression and survival analysis. Due to their unique benefits, decision trees have become one of the most powerful and popular approaches in data science. Decision forest aims to improve the predictive performance of a single decision tree by training multiple trees and combining their predictions.]]> Sun, 12 Jul 2015 17:29:13 GMT /slideshow/dmbi-talk/50440868 liorrokach@slideshare.net(liorrokach) Decision Forest: Twenty Years of Research liorrokach A decision tree is a predictive model that recursively partitions the covariate's space into subspaces such that each subspace constitutes a basis for a different prediction function. Decision trees can be used for various learning tasks including classification, regression and survival analysis. Due to their unique benefits, decision trees have become one of the most powerful and popular approaches in data science. Decision forest aims to improve the predictive performance of a single decision tree by training multiple trees and combining their predictions. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dmbitalk-150712172913-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A decision tree is a predictive model that recursively partitions the covariate&#39;s space into subspaces such that each subspace constitutes a basis for a different prediction function. Decision trees can be used for various learning tasks including classification, regression and survival analysis. Due to their unique benefits, decision trees have become one of the most powerful and popular approaches in data science. Decision forest aims to improve the predictive performance of a single decision tree by training multiple trees and combining their predictions.
Decision Forest: Twenty Years of Research from Lior Rokach
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]]> Mon, 30 Jul 2012 22:39:24 GMT /slideshow/publish-or-perish-towards-a-ranking-of-scientists-using-bibliographic-data-mining/13809117 liorrokach@slideshare.net(liorrokach) Publish or Perish: Towards a Ranking of Scientists using Bibliographic Data Mining liorrokach <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/scientistranking-120730223927-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Publish or Perish: Towards a Ranking of Scientists using Bibliographic Data Mining from Lior Rokach
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]]> Mon, 30 Jul 2012 22:26:39 GMT /slideshow/introduction-to-machine-learning-13809045/13809045 liorrokach@slideshare.net(liorrokach) Introduction to Machine Learning liorrokach <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mlintro-120730222641-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Introduction to Machine Learning from Lior Rokach
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]]> Mon, 30 Jul 2012 22:22:38 GMT /slideshow/recommender-systems-13809014/13809014 liorrokach@slideshare.net(liorrokach) Recommender Systems liorrokach <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/reclistv152fullversion-final-120730222239-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Recommender Systems from Lior Rokach
]]> 7496 9 https://cdn.slidesharecdn.com/ss_thumbnails/reclistv152fullversion-final-120730222239-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Ensemble Learning: �The Wisdom of Crowds �(of Machines) /slideshow/ensemble-learning-the-wisdom-of-crowds-of-machines/13808904 ensemblelearning-120730220523-phpapp02
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]]> Mon, 30 Jul 2012 22:05:21 GMT /slideshow/ensemble-learning-the-wisdom-of-crowds-of-machines/13808904 liorrokach@slideshare.net(liorrokach) Ensemble Learning: �The Wisdom of Crowds �(of Machines) liorrokach <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ensemblelearning-120730220523-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Ensemble Learning: The Wisdom of Crowds (of Machines) from Lior Rokach
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]]> Mon, 30 Jul 2012 21:47:57 GMT /slideshow/cyber-securityshort/13808823 liorrokach@slideshare.net(liorrokach) When �Cyber Security �Meets �Machine Learning liorrokach <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cybersecurityshort-120730214759-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
When Cyber Security Meets Machine Learning from Lior Rokach
]]> 17820 9 https://cdn.slidesharecdn.com/ss_thumbnails/cybersecurityshort-120730214759-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-liorrokach-48x48.jpg?cb=1659782423 I am a data scientist and full professor of information systems and software engineering at Ben-Gurion University of the Negev (BGU). My research focuses on data science and their alignment with real-world problems. I have established the machine learning laboratory at BGU which promotes innovative adaptations of machine learning and data science methods to create the next generation of intelligent systems. I currently serve as an area editor for Information Fusion. Specialties: Data Science, Machine Learning, Recommender Systems, Cyber Security, Data Mining, Information Technology, Intelligent Information Systems, Pattern Recognition, Artificial Intelligence, Business Intelligence, Kn... http://www.ise.bgu.ac.il/faculty/liorr https://cdn.slidesharecdn.com/ss_thumbnails/dmbitalk-150712172913-lva1-app6892-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/dmbi-talk/50440868 Decision Forest: Twent... https://cdn.slidesharecdn.com/ss_thumbnails/scientistranking-120730223927-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/publish-or-perish-towards-a-ranking-of-scientists-using-bibliographic-data-mining/13809117 Publish or Perish: To... https://cdn.slidesharecdn.com/ss_thumbnails/mlintro-120730222641-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/introduction-to-machine-learning-13809045/13809045 Introduction to Machin...