114523477362347755 Guyon I Elisseeff A 2003 An introduction to variable and

114523477362347755 guyon i elisseeff a 2003 an

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1145/2347736.2347755 Guyon I, Elisseeff A (2003) An introduction to variable and feature selection. J Mach Learn Res 3:1157–1182. doi: 10.1023/A:1012487302797 Hota SR, Argamon S, Koppel M, Zigdon I (2006) Performing gender: automatic stylistic analysis of shakespeare’s characters. Digit Humanit 1:82–88 Ikeda K, Hattori G, Ono C et al (2013) Twitter user profiling based on text and community mining for market analysis. Knowl-Based Syst 51:35–47. doi: 10.1016/j.knosys.2013.06.020 Ja ¨rvelin A, Ja ¨rvelin A, Ja ¨rvelin K (2007) S-grams: defining generalized n-grams for information retrieval. Inf Process Manage 43:1005–1019. doi: 10.1016/j.ipm.2006.09.016 Jordan MI, Ng AY (2002) On disriminative vs. generative classiers: a comparison of logistic regression and naive Bayes. In: Dietterich TG, Becker S, Ghahramani Z (eds) Advances in neural information processing systems. MIT Press, Cambridge, pp 841–848 Juan A, Vilar Torres D, Ney H (2007) Bridging the gap between naive Bayes and maximum entropy text classification. In: Proceedings of the 7th international workshop on pattern recognition in information systems (PRIS). INSTICC Press, Setu ´bal, pp 59–65 Kestemont M (2014) Function words in authorship attribution from black magic to theory? In: 3rd Workshop on computational linguistic for literature (CLfL 2014), pp 59–66 Klammer T, Schulz M, Della Volpe A (2000) Analyzing English grammar, 6th edn. Pearson Education Kohavi R (1995) A study of cross-validation and bootstrap for accuracy estimation and model selection. In: International joint conference on artificial intelligence Koppel M (2002) Automatically categorizing written texts by author gender. Lit Linguist Comput 17:401–412. doi: 10.1093/llc/17.4.401 Lee C, Lee GG (2006) Information gain and divergence-based feature selection for machine learning- based text categorization. Inf Process Manage 42:155–165. doi: 10.1016/j.ipm.2004.08.006 Manning CD, Schutze H (1999) Foundations of statistical natural language processing. MIT press, Cambridge Miller Z, Dickinson B, Hu W (2012) Gender prediction on twitter using stream algorithms with n-gram character features. Int J Intell Sci 02:143–148. doi: 10.4236/ijis.2012.224019 Mukherjee A, Liu B (2010) Improving gender classification of blog authors. In: Proceeding EMNLP ‘10 proceedings of the 2010 conference on empirical methods in natural language processing, pp 207–217 Peersman C, Daelemans W, Van Vaerenbergh L (2011) Predicting age and gender in online social networks. In: International conference on information and knowledge management proceedings, pp 37–44. doi: 10.1145/2065023.2065035 Pennacchiotti M, Popescu A-M (2011) A machine learning approach to Twitter user classification. ICWSM 11:281–288 Rao D, Yarowsky D, Shreevats A, Gupta M (2010) Classifying latent user attributes in twitter. In: Proceedings of the 2nd international workshop search mining user-generated contents—SMUC’10, p 37. doi: 10.1145/1871985.1871993 Schu ¨rer SC, Muskal SM (2013) Kinome-wide activity modeling from diverse public high-quality data sets. J Chem Inf Model 53:27–38. doi: 10.1021/ci300403k Weikum G (2002) Foundations of statistical natural language processing. ACM SIGMOD Rec 31:37.
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