klog.dinfo.unifi.it
kLogkLog, a language for relational learning with kernels
http://klog.dinfo.unifi.it/
kLog, a language for relational learning with kernels
http://klog.dinfo.unifi.it/
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kLog | klog.dinfo.unifi.it Reviews
https://klog.dinfo.unifi.it
kLog, a language for relational learning with kernels
kLog
http://klog.dinfo.unifi.it/index.html
A language for relational learning with kernels. KLog is a logical and relational language for kernel-based learning. Logical and relational learning problems may be specified at a high level in a declarative way. It builds on simple but powerful concepts: learning from interpretations, entity/relationship data modeling, logic programming and deductive databases (Prolog and Datalog), and graph kernels. A specialized version of kLog for natural language processing. Università di Firenze.
Tutorials · kLog
http://klog.dinfo.unifi.it/tutorials.html
University of Washington CSE. Data comes in the form of true ground atoms, under the closed-world assumption. Since (first-order logic) functions are not allowed in the language, a ground atom is essentially like a tuple in a relational database. For example the ground atom. Taught by(course170,person211,winter 0102). Corresponding to different research groups in the department. kLog data files are valid Prolog programs where true ground atoms are asserted using the special predicate. The kLog model is w...
Publications · kLog
http://klog.dinfo.unifi.it/publications.html
Paolo Frasconi, Fabrizio Costa, Luc De Raedt, Kurt De Grave. KLog: A Language for Logical and Relational Learning with Kernels. Mathias Verbeke, Paolo Frasconi, Kurt De Grave, Fabrizio Costa, Luc De Raedt. KLogNLP: Graph kernel- based relational learning of natural language. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations. Laura Antanas, McElory Hoffmann, Paolo Frasconi, Tinne Tuytelaars, Luc De Raedt. In Stephen Muggleton, Alireza Tamaddo...
Download · kLog
http://klog.dinfo.unifi.it/download.html
KLog sources are distributed under the GPL3 license. The current release may be downloaded from this webpage. The development version can be accessed from the Bitbucket git repository. For details on how to install kLog on your system. 622 or later. In order to build kLog, the YAP development files must be properly installed. Tabling should be enabled. We use the following to build Yap:. Is required to perform ROC analysis. A Java runtime environment is required for AUCCalculator.
Documentation · kLog
http://klog.dinfo.unifi.it/docs.html
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Collaborations · AI@Unifi
http://ai.dinfo.unifi.it/collaborations.html
And Albert-Ludwigs-Universität Freiburg. Università di Trento. Università di Siena. And Università Campus Biomedico. Università di Siena. MLOCRS (optical recognition of chemical structures). For all present and past collaborations see the following list of co-authors. Refine by co-author" ex:showMissing="false". Università di Firenze.
Collaborations · AI@Unifi
http://ai.dsi.unifi.it/collaborations.html
And Albert-Ludwigs-Universität Freiburg. Università di Trento. Università di Siena. And Università Campus Biomedico. Università di Siena. MLOCRS (optical recognition of chemical structures). For all present and past collaborations see the following list of co-authors. Refine by co-author" ex:showMissing="false". Università di Firenze.
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kLog
A language for relational learning with kernels. KLog is a logical and relational language for kernel-based learning. Logical and relational learning problems may be specified at a high level in a declarative way. It builds on simple but powerful concepts: learning from interpretations, entity/relationship data modeling, logic programming and deductive databases (Prolog and Datalog), and graph kernels. A specialized version of kLog for natural language processing. Università di Firenze.
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