1. AlSumait, L., Barbara, D., & Domeniconi, C. (2008). On-line LDA: Adaptive topic models for mining text streams with applications to topic detection and tracking. In D. Gunopulos, F. Turini, C. Zaniolo, N. Ramakrishnan, & X. D. Wu (Eds.), ICDM 2008: Eighth IEEE international conference on data mining, proceedings (pp. 3–12, IEEE international conference on data mining).
2. Aronson, A. R., & Lang, F. M. (2010). An overview of MetaMap: historical perspective and recent advances. Journal of the American Medical Informatics Association,
17(3), 229–236.
https://doi.org/10.1136/jamia.2009.002733
.
3. Asuncion, A., Welling, M., Smyth, P., & Teh, Y. W. (2012). On smoothing and inference for topic models. UAI 2009, abs/1205.2662, 27-34.
https://arxiv.org/abs/1205.2662v1
.
4. Bishop, C. M. (2006). Pattern recognition and machine learning. New York: Springer.
5. Bleeker, F. E., Molenaar, R. J., & Sieger, L. (2012). Recent advances in the molecular understanding of glioblastoma. Journal of Neuro-oncology,
108(1), 11.