I’ve always been curious about what makes someone “look” male or female, probably because I’m female but have never looked conventionally feminine. I was a tomboy as a child and remained one as an…
The aim of this project is to produce age-appropriate non-fiction books for children from birth to age 12. These books are richly illustrated with photographs, diagrams, sketches, and original drawings. Wikijunior books are produced by a worldwide community of writers, teachers, students, and young people all working together. The books present factual information that is verifiable. You are invited to join in and write, edit, and rewrite each module and book to improve its content. Our books are distributed free of charge under the terms of the Creative Commons Attribution-ShareAlike License.
Short introduction to Vector Space Model (VSM) In information retrieval or text mining, the term frequency - inverse document frequency also called tf-idf, is
Within the TENCompetence project we aim to develop and integrate models and tools into an open source infrastructure for the creation, storage and exchange of learning objects, suitable knowledge resources as well as learning experiences. This paper analyzes the potential of social software tools for providing part of the required functionality using a detailed scenario. It then discusses the challenges involved, focusing on interoperability, identity management and providing the right Web 2.0 tools for the required functionalities. Finally, we sketch a possible infrastructure based on Facebook, providing information propagation along a social network graph.
This is a repository of databases, domain theories and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms.
The mission of the Journal of Machine Learning Gossip (JMLG) is to provide an archival source of important information that is often discussed informally at conferences but is rarely, if ever, written down.
J. Lin, R. Nogueira, и A. Yates. (2020)cite arxiv:2010.06467Comment: Final preproduction version of volume in Synthesis Lectures on Human Language Technologies by Morgan & Claypool.
Q. Le, и T. Mikolov. Proceedings of the 31st International Conference on Machine Learning, том 32 из Proceedings of Machine Learning Research, стр. 1188--1196. Bejing, China, PMLR, (июня 2014)
S. Wang, L. Hu, Y. Wang, X. He, Q. Sheng, M. Orgun, L. Cao, F. Ricci, и P. Yu. (2021)cite arxiv:2105.06339Comment: Accepted by IJCAI 2021 Survey Track, copyright is owned to IJCAI. The first systematic survey on graph learning based recommender systems. arXiv admin note: text overlap with arXiv:2004.11718.
M. Paris, и R. Jäschke. Proceedings of the 14th International Conference on Knowledge Science, Engineering and Management, том 12816 из Lecture Notes in Artificial Intelligence, стр. 1--14. Springer, (2021)
M. Dacrema, P. Cremonesi, и D. Jannach. (2019)cite arxiv:1907.06902Comment: Source code available at: https://github.com/MaurizioFD/RecSys2019_DeepLearning_Evaluation.
P. Xia, S. Wu, и B. Van Durme. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), стр. 7516--7533. Association for Computational Linguistics, (ноября 2020)
C. Finn, P. Abbeel, и S. Levine. Proceedings of the 34th International Conference on Machine Learning, том 70 из ICML’17, стр. 1126--1135. JMLR.org, (2017)
J. Rennie, и A. McCallum. Proceedings of the Sixteenth International Conference on Machine Learning, стр. 335--343. San Francisco, CA, USA, Morgan Kaufmann Publishers Inc., (1999)
A. Plangprasopchok, K. Lerman, и L. Getoor. Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, стр. 949--958. New York, NY, USA, ACM, (2010)
R. Rosales, K. Achan, и B. Frey. Proceedings of the Twenty-first International Conference on Machine Learning, стр. 87--. New York, NY, USA, ACM, (2004)
H. Zeng, Q. He, Z. Chen, W. Ma, и J. Ma. Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, стр. 210--217. New York, NY, USA, ACM, (2004)
A. Coates, H. Lee, и A. Ng. Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, том 15 из JMLR Workshop and Conference Proceedings, стр. 215--223. JMLR W&CP, (2011)
M. Hearst. Proceedings of the 14th conference on Computational linguistics, 2, стр. 539--545. Stroudsburg, PA, USA, Association for Computational Linguistics, (1992)
A. Brew, D. Greene, и P. Cunningham. Proceedings of the 19th European Conference on Artificial Intelligence, том 215 из Frontiers in Artificial Intelligence and Applications, стр. 145--150. Amsterdam, The Netherlands, The Netherlands, IOS Press, (2010)
T. Rattenbury, N. Good, и M. Naaman. SIGIR '07: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, стр. 103--110. New York, NY, USA, ACM Press, (2007)
C. Cattuto, D. Benz, A. Hotho, и G. Stumme. Proceedings of the 3rd Workshop on Ontology Learning and Population (OLP3), стр. 39--43. Patras, Greece, (июля 2008)
J. Tane, C. Schmitz, G. Stumme, S. Staab, и R. Studer. Mobiles Lernen und Forschen - Beiträge der Fachtagung an der Universität, стр. 93-104. Kassel University Press, (ноября 2003)