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Formal learning
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21	EVALUATING BENCHMARK PROBLEMS BY RANDOM GUESSING J¨ urgen Schmidhuber IDSIA Corso Elvezia 36 Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2015-10-02 01:16:05 Artificial neural networks Academia Applied mathematics Artificial intelligence Computational neuroscience Formal sciences Machine learning Computational statistics Recurrent neural network Sepp Hochreiter Long short-term memory Backpropagation
22	An Extension of ToscanaJ for FCA-based Data Analysis over Triple Stores Frithjof Dau and Barı¸s Sertkaya SAP Research Center Dresden, Germany (frithjof.dau\|baris.sertkaya)@sap.com Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2011-06-14 09:30:50 Lattice theory Computing Ontology Data management Data modeling Data mining Formal concept analysis Machine learning Data model Entityrelationship model Software engineering Conceptual model
23	Policy Exchange This report is about a strategy for big data in the public sector. We provide an overview and examples to inspire policymakers around the opportunity for data and analytics to transform public service d Add to Reading List Source URL: policyexchange.org.uk Language: English - Date: 2013-12-06 16:20:39 Data Computing Information technology Business intelligence Formal sciences Data management Big data Transaction processing Analytics Open data Learning analytics Open Data Institute
24	National Youth Policies A working document from the point of view of "non-formal education" youth organizations Towards an autonomous, supportive, responsible and committed youth Add to Reading List Source URL: ypr.scouts.com.au Language: English - Date: 2013-11-21 02:09:40 Education Educational psychology Nonformal learning Academia Youth empowerment Ageism Community building Development communication Community education
25	Microsoft WordEnhancing Institutional Research Management with Advanced Analytics – Getting More Value with Your Data.do Add to Reading List Source URL: www.inorms2016.org Language: English - Date: 2016-03-21 01:27:11 Economy Business intelligence Formal sciences Analytics Big data Mathematical finance Data management Data Learning analytics
26	MaSh: Machine Learning for Sledgehammer Daniel Kühlwein1 , Jasmin Christian Blanchette2 , Cezary Kaliszyk3 , and Josef Urban1 1 2 Add to Reading List Source URL: people.mpi-inf.mpg.de Language: English - Date: 2015-03-13 06:06:51 Mathematical logic Theoretical computer science Automated theorem proving Mathematics Logic in computer science Formal methods Proof assistants Artificial intelligence Isabelle Automated reasoning IP Logic programming
27	Statistical Relational Learning with Soft Quantifiers Golnoosh Farnadi1,2 , Stephen H. Bach3 , Marjon Blondeel4 , Marie-Francine Moens2 , Lise Getoor5 , and Martine De Cock1,6 1 Dept. of Applied Mathematics, Computer Sc Add to Reading List Source URL: stephenbach.net Language: English - Date: 2015-09-22 18:21:56 Logic Mathematical logic Abstraction Quantification Predicate logic Model theory Semantics Formal languages Quantifier First-order logic Constructible universe Universal quantification
28	Business meeting at work at trendy startup company presenting pitch for growth and development Add to Reading List Source URL: cdn.webtrends.com Language: English Economy Web analytics Business intelligence Information technology Data analysis Webtrends Formal sciences Data management Analytics Big data Learning analytics
29	Using information to support student learning This document tells you about important developments in the use of information The Open University holds about its students. You should take time to read it and understand ho Add to Reading List Source URL: www.open.ac.uk Language: English - Date: 2015-03-18 13:09:45 Business intelligence Economy Education Data analysis Learning Formal sciences Educational psychology Learning analytics Predictive analytics Analytics Educational technology Academic analytics
30	Published in Proc. of International Joint Conference on Neural Networks (IJCNNin Barcelona, Spain Topological Features in Locally Connected RBMs Andreas M¨uller, Hannes Schulz, and Sven Behnke Abstract— Unsupe Add to Reading List Source URL: amueller.github.io Language: English - Date: 2016-08-04 15:59:56 Artificial neural networks Artificial intelligence Computational neuroscience Cybernetics Applied mathematics Machine learning Formal sciences Deep learning Convolutional neural network Feature learning Restricted Boltzmann machine Boltzmann machine