• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 39 matches

• 2020
• 
  Jocelyn Mazarura, Alta de Waal, Johan Pieter de Villiers:
  A Gamma-Poisson Mixture Topic Model for Short Text. CoRR abs/2004.11464 (2020)
• 2019
• 
  Anjali Silva, Steven J. Rothstein, Paul D. McNicholas, Sanjeena Subedi:
  A multivariate Poisson-log normal mixture model for clustering transcriptome sequencing data. BMC Bioinform. 20(1): 394:1-394:11 (2019)
• 
  Matej Petrous, Evzenie Suzdaleva, Ivan Nagy:
  Modeling of Passenger Demand using Mixture of Poisson Components. ICINCO (1) 2019: 617-624
• 
  Xinmin Zhang, Manabu Kano, Masahiro Tani, Junichi Mori, Junji Ise, Kohhei Harada:
  Poisson mixture model for defects prediction in steelmaking. SICE 2019: 1274-1279
• 
  Guchong Li:
  Multiple Model Poisson Multi-Bernoulli Mixture Filter for Maneuvering Targets. CoRR abs/1904.03716 (2019)
• 2018
• 
  Athanasios C. Micheas, Jiaxun Chen:
  sppmix: Poisson point process modeling using normal mixture models. Comput. Stat. 33(4): 1767-1798 (2018)
• 2017
• 
  Arindam Ghosh:
  Mixture-Based Modeling of Spatially Correlated Interference in a Poisson Field of Interferers. IEEE Commun. Lett. 21(11): 2496-2499 (2017)
• 
  Jiachao Zhang, Keigo Hirakawa:
  Improved Denoising via Poisson Mixture Modeling of Image Sensor Noise. IEEE Trans. Image Process. 26(4): 1565-1578 (2017)
• 
  Arindam Ghosh:
  Mixture-based Modeling of Correlated Interference in a Poisson Field of Interferers. CoRR abs/1706.05983 (2017)
• 2016
• 
  Chipo Mufudza, Hamza Erol:
  Poisson Mixture Regression Models for Heart Disease Prediction. Comput. Math. Methods Medicine 2016: 4083089:1-4083089:10 (2016)
• 
  Panagiotis Papastamoulis, Marie-Laure Martin-Magniette, Cathy Maugis-Rabusseau:
  On the estimation of mixtures of Poisson regression models with large number of components. Comput. Stat. Data Anal. 93: 97-106 (2016)
• 
  Jongmin Yu, Jeonghwan Gwak, Moongu Jeon:
  Gaussian-Poisson mixture model for anomaly detection of crowd behaviour. ICCAIS 2016: 106-111
• 
  Lu Wang, Dongxiao Zhu, Yan Li, Ming Dong:
  Poisson-Markov Mixture Model and Parallel Algorithm for Binning Massive and Heterogenous DNA Sequencing Reads. ISBRA 2016: 15-26
• 2015
• 
  Meixia Ye, Zhong Wang, Yaqun Wang, Rongling Wu:
  A multi-Poisson dynamic mixture model to cluster developmental patterns of gene expression by RNA-seq. Briefings Bioinform. 16(2): 205-215 (2015)
• 
  Andrea Rau, Cathy Maugis-Rabusseau, Marie-Laure Martin-Magniette, Gilles Celeux:
  Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models. Bioinform. 31(9): 1420-1427 (2015)
• 
  Vinod Hegde, Milovan Krnjajic, Alexei Pozdnoukhov:
  Unsupervised Event Detection with Infinite Poisson Mixture Model. BigData Congress 2015: 567-575
• 
  Maria Lomeli, Stefano Favaro, Yee Whye Teh:
  A hybrid sampler for Poisson-Kingman mixture models. NIPS 2015: 2161-2169
• 2014
• 
  Hwa Kyung Lim, Wai Keung Li, Philip L. H. Yu:
  Zero-inflated Poisson regression mixture model. Comput. Stat. Data Anal. 71: 151-158 (2014)
• 
  Andry Njato Randriamanamihaga, Etienne Côme, Latifa Oukhellou, Gérard Govaert:
  Clustering the Vélib' dynamic Origin/Destination flows using a family of Poisson mixture models. Neurocomputing 141: 124-138 (2014)
• 
  Jennifer So-Kuen Chan, Wai-Yin Wan:
  Multivariate generalized Poisson geometric process model with scale mixtures of normal distributions. J. Multivar. Anal. 127: 72-87 (2014)
• 
  Zacharie Irace, Hadj Batatia:
  Bayesian spatiotemporal segmentation of combined PET-CT data using a bivariate poisson mixture model. EUSIPCO 2014: 2095-2099
• 2013
• 
  Andry Njato Randriamanamihaga, Etienne Côme, Latifa Oukhellou, Gérard Govaert:
  Clustering the Vélib' origin-destinations flows by means of Poisson mixture models. ESANN 2013
• 2012
• 
  Lluís Bermúdez, Dimitris Karlis:
  A finite mixture of bivariate Poisson regression models with an application to insurance ratemaking. Comput. Stat. Data Anal. 56(12): 3988-3999 (2012)
• 
  Liming Xiang, Kelvin K. W. Yau, Andy H. Lee:
  The robust estimation method for a finite mixture of Poisson mixed-effect models. Comput. Stat. Data Anal. 56(6): 1994-2005 (2012)
• 2011
• 
  Keiji Takai, Katsutoshi Yada:
  Finding latent groups of customers via the poisson mixture regression model. SMC 2011: 3603-3608
• 2010
• 
  Xin He, Moushumi Sen Sarma, Xu Ling, Brant W. Chee, Chengxiang Zhai, Bruce R. Schatz:
  Identifying overrepresented concepts in gene lists from literature: a statistical approach based on Poisson mixture model. BMC Bioinform. 11: 272 (2010)
• 2009
• 
  Jinwen Ma, Jianfeng Liu, Zhijie Ren:
  Parameter estimation of Poisson mixture with automated model selection through BYY harmony learning. Pattern Recognit. 42(11): 2659-2670 (2009)
• 2008
• 
  Gloria Haro, Gregory Randall, Guillermo Sapiro:
  Translated Poisson Mixture Model for Stratification Learning. Int. J. Comput. Vis. 80(3): 358-374 (2008)
• 2007
• 
  Scott D. Zuyderduyn:
  Statistical analysis and significance testing of serial analysis of gene expression data using a Poisson mixture model. BMC Bioinform. 8 (2007)
• 
  Alexandre X. Carvalho, Martin A. Tanner:
  Modelling nonlinear count time series with local mixtures of Poisson autoregressions. Comput. Stat. Data Anal. 51(11): 5266-5294 (2007)

skipping 9 more matches