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Optimizing Neural Networks for Patent Classification.

, , , , и . ECML/PKDD (3), том 11908 из Lecture Notes in Computer Science, стр. 688-703. Springer, (2019)

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Tanja Elisabeth Peters

George Gershwins und Jerome Kerns Musicalsongs: ihre Ähnlichkeit, Wahrnehmung und musikalische Struktur. Uni Köln, (2008)

Andre Peters

Description and determination of soil hydraulic properties on the laboratory scale. TU Braunschweig, (2008)

Jillian Petersen

Diversity and ecology of chemosynthetic symbioses in deep-sea invertebrates. Uni Bremen, (2009)

Robert Martin Peterreins

Musikhörfähigkeit von Patienten mit elektroakustischer Stimulation: Testung anhand des Mu.S.I.C.-Tests. TU München, (2009)

Svea Petersen

 

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Convolutional Neural Networks for Classification of German Blurbs., , , и . KONVENS, (2019)Integrating the Rule-Based IE Component TextMarker into UIMA, , и . LWA-2008 (Special Track on Information Retrieval), стр. 73-77. (2008)A Framework for Semi-Automatic Development of Rule-based Information Extraction Applications., , , и . LWA, TUD-CS-2009-0157/TUD-KE-2009-04, стр. KDML:56-59. FG Telekooperation/FG Knowledge Engineering, Technische Universität Darmstadt, Germany, (2009)Conditional Random Fields For Local Adaptive Reference Extraction, , , и . Proceedings of LWA2010 - Workshop-Woche: Lernen, Wissen & Adaptivitaet, Kassel, Germany, (2010)Test-Driven Development of Complex Information Extraction Systems using TextMarker, , и . Proc. 4th International Workshop on Knowledge Engineering and Software Engineering (KESE 2008), 31th German Conference on Artificial Intelligence (KI-2008), (2008)Exploiting Structural Consistencies with Stacked Conditional Random Fields, , , , и . Mathematical Methodologies in Pattern Recognition and Machine Learning Springer Proceedings in Mathematics & Statistics, (2013)Conservative and Creative Strategies for the Refinement of Scoring Rules, , , и . Proc. 19th Intl. Florida Artificial Intelligence Research Society Conference 2006 (FLAIRS-2006), стр. 408--413. AAAI Press, (2006)Conditional Random Fields for Local Adaptive Reference Extraction, , , и . Workshop on Knowledge Discovery, Data Mining, Machine Learning (KDML 2010), (2010)Optimizing Neural Networks for Patent Classification., , , , и . ECML/PKDD (3), том 11908 из Lecture Notes in Computer Science, стр. 688-703. Springer, (2019)Segmentation of References with Skip-Chain Conditional Random Fields for Consistent Label Transitions, , , и . Workshop Notes of the LWA 2011 - Learning, Knowledge, Adaptation, (2011)