Download Amor y matemáticas: El corazón de la realidad oculta by Edward Frenkel, Joan Andreano Weyland PDF

By Edward Frenkel, Joan Andreano Weyland

¿Qué sucedería si en clase de arte te enseñaran a pintar una verja? ¿O que jamás te mostraran una pintura ni te hablaran de l. a. existencia de Van Gogh o Picasso? Pues así es como nos han enseñado las matemáticas. En este fascinante libro, uno de los matemáticos más brillantes del momento nos descubre el lado de las matemáticas que jamás hemos visto, barnizadas con toda l. a. belleza y elegancia de una pieza de arte. Frenkel nos sumerge en una disciplina presente en el corazón de toda materia, que une culturas, tiempo y espacio. Y lo hace a través de dos historias, los angeles de l. a. evolución y los grandes hallazgos de las matemáticas, y, de forma paralela, l. a. de su biografía own, que le llevó de ser rechazado en los angeles facultad de matemáticas de Moscú a convertirse en uno de los matemáticos más importantes del siglo xxi. Pero el libro no es sólo una apasionante historia de superación own teñida de divulgación científica, sino que nos introduce en una nueva forma de pensamiento capaz de enriquecer nuestra vida own y ayudarnos a entender mejor el mundo y el lugar que ocupamos en él. Es una invitación a descubrir l. a. magia del universo escondido de las matemáticas.

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61003018 and 61021062, in part by the National Research Foundation for the Doctoral Program of Higher Education of China under Grant No. 20100091120041, and also in part by the Natural Science Foundation of Jiangsu Province under Grant No. BK2011189. References 1. : Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng. 17(6), 734–749 (2005) 2. : The semantic web. Sci. Am. 5, 29–37 (2001) Using Semantic Technology to Improve Recommender Systems: : : 23 3.

In: Recommender Systems Handbook, pp. 257–298, 2011 15. : A survey of collaborative filtering techniques. Adv. Artif. Intell. 2009(5), 1–19 (2009) 16. : Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance. Climate Res. 30(1), 79–82 (2005) 17. : Interpreting TF-IDF term weights as making relevance decisions. ACM Trans. Inform. Syst. 26(3), 13:1–13:37 (2008) 18. : Product recommendation based on search keywords. In: Proceedings of WISA, 2012 Finding, Extracting, and Building Academic Linked Data Peng Wang and Xiang Zhang Abstract This paper addresses the problem of finding and extracting academic information from conference Web pages, then organizing academic information as ontologies, and finally generating academic linked data by matching these ontologies.

2 Text Block Classification The complete vision tree preserves some structure information of Web pages. However, it is not enough for extracting the academic information from text blocks. This paper transforms the academic information extraction problem to a classification problem. Namely, we classify text blocks; then academic information can be extracted easily from the classification results. There are three types of academic information on a conference website: (1) information about conference events – conference name, time, location, submission deadline, submission URL, and accepted papers; (2) information about conference topics – call for papers (or workshops/research papers/industrial papers), topics of interests, sessions, tracks, and so on; and (3) information about related people and institute – organizers, program committee, authors, companies, universities, countries, and so on.

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