Analyzing the Influence of Hyper-parameters and Regularizers of Topic Modeling in Terms of Renyi Entropy
暂无分享,去创建一个
Steffen Staab | Sergei Koltcov | Vera Ignatenko | Zeyd Boukhers | Steffen Staab | Zeyd Boukhers | S. Koltcov | V. Ignatenko
[1] Alan L. Porter,et al. Clustering scientific documents with topic modeling , 2014, Scientometrics.
[2] Chong Wang,et al. Online Variational Inference for the Hierarchical Dirichlet Process , 2011, AISTATS.
[3] Andrew McCallum,et al. Rethinking LDA: Why Priors Matter , 2009, NIPS.
[4] Sergey I. Nikolenko,et al. Stable Topic Modeling with Local Density Regularization , 2016, INSCI.
[5] Rose,et al. Statistical mechanics and phase transitions in clustering. , 1990, Physical review letters.
[6] Chong Wang,et al. Truncation-free Online Variational Inference for Bayesian Nonparametric Models , 2012, NIPS.
[7] William W. Cohen,et al. From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering , 2013, ECML/PKDD.
[8] Sergey I. Nikolenko,et al. Latent dirichlet allocation: stability and applications to studies of user-generated content , 2014, WebSci '14.
[9] Weizhong Zhao,et al. A heuristic approach to determine an appropriate number of topics in topic modeling , 2015, BMC Bioinformatics.
[10] C. Nelson,et al. Nuclear detection using Higher-Order topic modeling , 2012, 2012 IEEE Conference on Technologies for Homeland Security (HST).
[11] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Thierry Mora,et al. Rényi entropy, abundance distribution, and the equivalence of ensembles. , 2016, Physical review. E.
[13] Thomas Hofmann,et al. Probabilistic latent semantic indexing , 1999, SIGIR '99.
[14] Sergei Koltcov,et al. Application of Rényi and Tsallis entropies to topic modeling optimization , 2018, Physica A: Statistical Mechanics and its Applications.
[15] Mark Steyvers,et al. Finding scientific topics , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[16] Michael J. Berry,et al. Thermodynamics and signatures of criticality in a network of neurons , 2015, Proceedings of the National Academy of Sciences.
[17] Chong Wang,et al. Reading Tea Leaves: How Humans Interpret Topic Models , 2009, NIPS.
[18] Konstantin Vorontsov,et al. Additive regularization for topic models of text collections , 2014, Doklady Mathematics.
[19] Joshua Goodman,et al. A bit of progress in language modeling , 2001, Comput. Speech Lang..
[20] Abubakr Gafar Abdalla,et al. Probability Theory , 2017, Encyclopedia of GIS.
[21] Gregor Heinrich. Parameter estimation for text analysis , 2009 .
[22] Thomas L. Griffiths,et al. Learning author-topic models from text corpora , 2010, TOIS.
[23] B. Schölkopf,et al. Hierarchical Dirichlet Processes with Random Effects , 2007 .
[24] Thomas Hofmann,et al. Unsupervised Learning by Probabilistic Latent Semantic Analysis , 2004, Machine Learning.
[25] Ruslan Salakhutdinov,et al. Evaluation methods for topic models , 2009, ICML '09.
[26] David M. Blei,et al. Probabilistic topic models , 2012, Commun. ACM.
[27] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[28] Ian Davidson,et al. Constrained Clustering: Advances in Algorithms, Theory, and Applications , 2008 .
[29] Yee Whye Teh,et al. Collapsed Variational Inference for HDP , 2007, NIPS.
[30] Andrew McCallum,et al. Optimizing Semantic Coherence in Topic Models , 2011, EMNLP.
[31] Yee Whye Teh,et al. On Smoothing and Inference for Topic Models , 2009, UAI.
[32] Sergey I. Nikolenko,et al. Additive Regularization for Topic Modeling in Sociological Studies of User-Generated Texts , 2016, MICAI.
[33] A. N. Tikhonov,et al. Solutions of ill-posed problems , 1977 .
[34] Olessia Koltsova,et al. Estimating Topic Modeling Performance with Sharma–Mittal Entropy , 2019, Entropy.
[35] Clint P. George,et al. Principled Selection of Hyperparameters in the Latent Dirichlet Allocation Model , 2017, J. Mach. Learn. Res..
[36] Han Wang,et al. Fast approximation of variational Bayes Dirichlet process mixture using the maximization-maximization algorithm , 2018, Int. J. Approx. Reason..
[37] Max Welling,et al. Distributed Algorithms for Topic Models , 2009, J. Mach. Learn. Res..
[38] Konstantin Vorontsov,et al. Tutorial on Probabilistic Topic Modeling: Additive Regularization for Stochastic Matrix Factorization , 2014, AIST.
[39] Sergey I. Nikolenko,et al. A Two-Step Soft Segmentation Procedure for MALDI Imaging Mass Spectrometry Data , 2012, GCB.
[40] T. Minka. Estimating a Dirichlet distribution , 2012 .
[41] Etienne Barnard,et al. Evaluating topic models with stability , 2008 .
[42] Wei Jiang,et al. Latent topic model for audio retrieval , 2014, Pattern Recognit..