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Publication search results
found 417 matches
- 2024
- Zeynab Aghabazaz, Iraj Kazemi, Alireza Nematollahi:
Dynamic mixed models with heterogeneous covariance components using multivariate GARCH innovations and the Dirichlet process mixture. J. Comput. Appl. Math. 438: 115579 (2024) - Neha Agarwal, Geeta Sikka, Lalit Kumar Awasthi:
Integrating semantic similarity with Dirichlet multinomial mixture model for enhanced web service clustering. Knowl. Inf. Syst. 66(4): 2327-2353 (2024) - Pedro Cardoso, John M. Dennis, Jack Bowden, Beverley M. Shields, Trevelyan J. McKinley:
Dirichlet process mixture models to impute missing predictor data in counterfactual prediction models: an application to predict optimal type 2 diabetes therapy. BMC Medical Informatics Decis. Mak. 24(1): 12 (2024) - Daniele Dall'Olio, Eric Sträng, Amin T. Turki, Jesse M. Tettero, Martje Barbus, Renate Schulze-Rath, Javier Martinez Elicegui, Tommaso Matteuzzi, Alessandra Merlotti, Luciana Carota, Claudia Sala, Matteo G. Della Porta, Enrico Giampieri, Jesús María Hernández-Rivas, Lars Bullinger, Gastone C. Castellani:
Covering Hierarchical Dirichlet Mixture Models on binary data to enhance genomic stratifications in onco-hematology. PLoS Comput. Biol. 20(2) (2024) - Ze-Chen Li, Heng-Chao Li, Gui Gao, Wen Hong, William J. Emery:
Unsupervised Classification for Multilook Polarimetric SAR Images via Double Dirichlet Process Mixture Model. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - Dongwook Kim, Juyeon Park, Hee Cheol Chung, Seonghyun Jeong:
Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures. CoRR abs/2401.00773 (2024) - Jongha Jon Ryu, Maohao Shen, Soumya Ghosh, Yuheng Bu, Prasanna Sattigeri, Subhro Das, Gregory W. Wornell:
Improved Evidential Deep Learning via a Mixture of Dirichlet Distributions. CoRR abs/2402.06160 (2024) - Samyajoy Pal, Christian Heumann:
Variational Approach for Efficient KL Divergence Estimation in Dirichlet Mixture Models. CoRR abs/2403.12158 (2024) - 2023
- Fares Alkhawaja, Nizar Bouguila:
Unsupervised nested Dirichlet finite mixture model for clustering. Appl. Intell. 53(21): 25232-25258 (2023) - Kuhwan Jeong, Minwoo Chae, Yongdai Kim:
Online learning for the Dirichlet process mixture model via weakly conjugate approximation. Comput. Stat. Data Anal. 179: 107626 (2023) - Massimo Bilancia, Michele Di Nanni, Fabio Manca, Gianvito Pio:
Variational Bayes estimation of hierarchical Dirichlet-multinomial mixtures for text clustering. Comput. Stat. 38(4): 2015-2051 (2023) - Neha Agarwal, Geeta Sikka, Lalit Kumar Awasthi:
WGSDMM+GA: A genetic algorithm-based service clustering methodology assimilating dirichlet multinomial mixture model with word embedding. Future Gener. Comput. Syst. 145: 254-266 (2023) - Zhenyu Guo, Jie Yuan, Shengshan Ma, Zhonghua Li, Qiong Wu:
Self-coloring-Driven Plume Source Localization Strategy for Multiple Robots Using Dirichlet Process Gaussian Mixture Model and Mutation Random Salp Swarm Algorithm. Neural Process. Lett. 55(8): 10331-10351 (2023) - Tao Li, Jinwen Ma:
Dirichlet process mixture of Gaussian process functional regressions and its variational EM algorithm. Pattern Recognit. 134: 109129 (2023) - Zhi Wang, Chunlin Chen, Daoyi Dong:
A Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong Reinforcement Learning. IEEE Trans. Cybern. 53(12): 7509-7520 (2023) - Songlin Wei, Guodong Chen, Wenzheng Chi, Zhenhua Wang, Lining Sun:
Object Clustering With Dirichlet Process Mixture Model for Data Association in Monocular SLAM. IEEE Trans. Ind. Electron. 70(1): 594-603 (2023) - Ziyue Li, Hao Yan, Chen Zhang, Wolfgang Ketter, Fugee Tsung:
Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering. GeoAI@SIGSPATIAL 2023: 121-128 - Mark Junjie Li, Rui Wang, Jun Li, Xianyu Bao, Jueying He, Jiayao Chen, Lijuan He:
Topic Modeling for Short Texts via Adaptive P$\acute{o}$lya Urn Dirichlet Multinomial Mixture. ICONIP (14) 2023: 364-376 - Ornela Bregu, Nizar Bouguila:
Unsupervised Learning of Dirichlet Compound Negative Multinomial Mixture Model using Minorization-Maximization Approach. ICTAI 2023: 491-495 - Ziyue Li, Hao Yan, Chen Zhang, Andi Wang, Wolfgang Ketter, Lijun Sun, Fugee Tsung:
Tensor Dirichlet Process Multinomial Mixture Model for Passenger Trajectory Clustering. CoRR abs/2306.13794 (2023) - Francesco Camaglia, Ilya Nemenman, Thierry Mora, Aleksandra M. Walczak:
Bayesian estimation of the Kullback-Leibler divergence for categorical sytems using mixtures of Dirichlet priors. CoRR abs/2307.04201 (2023) - Ziyue Li, Hao Yan, Chen Zhang, Lijun Sun, Wolfgang Ketter, Fugee Tsung:
Choose A Table: Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering. CoRR abs/2310.20224 (2023) - Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra:
Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. CoRR abs/2312.11169 (2023) - 2022
- Erhan Karakoca, Günes Karabulut Kurt, Ali Görçin:
Hierarchical Dirichlet Process Based Gamma Mixture Modeling for Terahertz Band Wireless Communication Channels. IEEE Access 10: 84635-84647 (2022) - Maria Osmala, Gökcen Eraslan, Harri Lähdesmäki:
ChromDMM: a Dirichlet-multinomial mixture model for clustering heterogeneous epigenetic data. Bioinform. 38(16): 3863-3870 (2022) - Ali Baghdadi, Narges Manouchehri, Zachary Patterson, Wentao Fan, Nizar Bouguila:
Hierarchical Dirichlet and Pitman-Yor process mixtures of shifted-scaled Dirichlet distributions for proportional data modeling. Comput. Intell. 38(6): 2095-2115 (2022) - Nurul Afiqah Burhanuddin, Mohd Bakri Adam, Kamarulzaman Ibrahim:
Clustering with label constrained Dirichlet process mixture model. Eng. Appl. Artif. Intell. 107: 104543 (2022) - Yuping Lai, Wenbo Guan, Lijuan Luo, Qiang Ruan, Yuan Ping, Heping Song, Hongying Meng, Yu Pan:
Extended variational inference for Dirichlet process mixture of Beta-Liouville distributions for proportional data modeling. Int. J. Intell. Syst. 37(7): 4277-4306 (2022) - Qiang Hu, Jiaji Shen, Kun Wang, Junwei Du, Yuyue Du:
A Web service clustering method based on topic enhanced Gibbs sampling algorithm for the Dirichlet Multinomial Mixture model and service collaboration graph. Inf. Sci. 586: 239-260 (2022) - Marta Catalano, Pierpaolo De Blasi, Antonio Lijoi, Igor Prünster:
Posterior Asymptotics for Boosted Hierarchical Dirichlet Process Mixtures. J. Mach. Learn. Res. 23: 80:1-80:23 (2022)
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