CONJONCTURE ÉCONOMIQUE DE LA RÉGION ILE-DE-FRANCE L’actualité en 12 graphiques Unité Développement Direction de la Stratégie et des Territoires Service Prospective et Evaluation

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Journée d’échanges Natura 2000 en IDF 12 juin 2012 Forêt Régionale de Bondy Actualités Natura 2000 :

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Journée d’échanges Natura 2000 en IDF 12 juin 2012 Forêt de Bondy L’Évaluation des Incidences

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PDF Document

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Proceedings of the 11th NTCIR Conference, December 9-12, 2014, Tokyo, Japan TUW-IMP at the NTCIR-11 Math-2 Aldo Lipani, Linda Andersson, Florina Piroi, Mihai Lupu, Allan Hanbury Vienna University of Technology, Austria

Source URL: research.nii.ac.jp

• Information
• Tf*idf
• MathML
• Precision and recall
• Well-formed formula
• Search engine indexing
• Formula
• Pi
• Information science
• Science
• Information retrieval

Proceedings of the 11th NTCIR Conference, December 9-12, 2014, Tokyo, Japan Combining TF-IDF Text Retrieval with an Inverted Index over Symbol Pairs in Math Expressions: The Tangent Math Search Engine at NTCIR 2014 Nidh

Source URL: research.nii.ac.jp

• Full text search
• Document retrieval
• Tf*idf
• Precision and recall
• Search engine indexing
• Regular expression
• Lucene
• Information science
• Information retrieval
• Inverted index

News Release For Immediate Release IDF Chooses Fox as its Backbone Training Management System July 8, 2014, Tel Aviv, Israel  Britannica Knowledge Systems (Britannica) has won the Israel Defense Forces (IDF) tender to

Source URL: www.britannica-ks.com

• Library science
• Israel Defense Forces
• Encyclopædia Britannica
• Reference

Noname manuscript No. (will be inserted by the editor) LETOR: A Benchmark Collection for Research on Learning to Rank for Information Retrieval Tao Qin · Tie-Yan Liu · Jun Xu · Hang Li

Source URL: research.microsoft.com

• Learning to rank
• Ranking function
• Tf*idf
• Document classification
• Ranking SVM
• Search engine indexing
• Document retrieval
• Language model
• Okapi BM25
• Information science
• Information retrieval
• Science

Introducing LETOR 4.0 Datasets Tao Qin and Tie-Yan Liu {taoqin,tyliu}@microsoft.com Microsoft Research Asia LETOR is a package of benchmark data sets for research on LEarning TO Rank, which

Source URL: arxiv.org

• Ranking
• Tf*idf
• Null
• Information science
• Information retrieval
• Learning to rank

projet_IDF_AAP_AT

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