• 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 1,981 matches

• 2021
• 
  Oswaldo Gressani, Philippe Lambert:
  Laplace approximations for fast Bayesian inference in generalized additive models based on P-splines. Comput. Stat. Data Anal. 154: 107088 (2021)
• 
  Manuel Castellano-Quero, Juan-Antonio Fernández-Madrigal, Alfonso García-Cerezo:
  Improving Bayesian inference efficiency for sensory anomaly detection and recovery in mobile robots. Expert Syst. Appl. 163: 113755 (2021)
• 
  Francisco Pastor, Jorge García-González, Juan M. Gandarias, Daniel Medina, Pau Closas, Alfonso J. García-Cerezo, Jesús M. Gómez de Gabriel:
  Bayesian and Neural Inference on LSTM-Based Object Recognition From Tactile and Kinesthetic Information. IEEE Robotics Autom. Lett. 6(1): 231-238 (2021)
• 
  Andrew J. Holbrook, Charles E. Loeffler, Seth R. Flaxman, Marc A. Suchard:
  Scalable Bayesian inference for self-excitatory stochastic processes applied to big American gunfire data. Stat. Comput. 31(1): 4 (2021)
• 
  Haoshen Lin, Chen Hu:
  Variational inference based distributed noise adaptive Bayesian filter. Signal Process. 178: 107775 (2021)
• 
  Ning Chu, Yue Ning, Liang Yu, Qian Huang, Dazhuan Wu:
  A Fast and Robust Localization Method for Low-Frequency Acoustic Source: Variational Bayesian Inference Based on Nonsynchronous Array Measurements. IEEE Trans. Instrum. Meas. 70: 1-18 (2021)
• 
  Ragja Palakkadavath, P. K. Srijith:
  Bayesian Generative Adversarial Nets with Dropout Inference. COMAD/CODS 2021: 92-100
• 
  David Wu, David R. Palmer, Daryl R. DeFord:
  Bayesian Inference of Random Dot Product Graphs via Conic Programming. CoRR abs/2101.02180 (2021)
• 
  Davide Piras, Alessio Spurio Mancini, Benjamin Joachimi, Michael P. Hobson:
  Towards fast machine-learning-assisted Bayesian posterior inference of realistic microseismic events. CoRR abs/2101.04724 (2021)
• 
  Manuel M. Eichenlaub:
  On the relationship between a Gamma distributed precision parameter and the associated standard deviation in the context of Bayesian parameter inference. CoRR abs/2101.06289 (2021)
• 
  Shaopeng Fu, Fengxiang He, Yue Xu, Dacheng Tao:
  Bayesian Inference Forgetting. CoRR abs/2101.06417 (2021)
• 2020
• 
  Maria Antico, Fumio Sasazawa, Yu Takeda, Anjali Tumkur Jaiprakash, Marie-Luise Wille, Ajay K. Pandey, Ross Crawford, Gustavo Carneiro, Davide Fontanarosa:
  Bayesian CNN for Segmentation Uncertainty Inference on 4D Ultrasound Images of the Femoral Cartilage for Guidance in Robotic Knee Arthroscopy. IEEE Access 8: 223961-223975 (2020)
• 
  Ning Chu, Yue Ning, Liang Yu, Qian Huang, Dazhuan Wu:
  A High-Resolution and Low-Frequency Acoustic Beamforming Based on Bayesian Inference and Non-Synchronous Measurements. IEEE Access 8: 82500-82513 (2020)
• 
  Fernando Llorente-Fernández, Luca Martino, Victor Elvira, David Delgado, Javier López-Santiago:
  Adaptive Quadrature Schemes for Bayesian Inference via Active Learning. IEEE Access 8: 208462-208483 (2020)
• 
  Yan Li, Dayou Liu, Jianfeng Chu, Yungang Zhu, Jie Liu, Xiaochun Cheng:
  A Sparse Bayesian Learning Method for Structural Equation Model-Based Gene Regulatory Network Inference. IEEE Access 8: 40067-40080 (2020)
• 
  Yanan Li, Xin Peng, Ying Tian:
  Plant-Wide Process Monitoring Strategy Based on Complex Network and Bayesian Inference-Based Multi-Block Principal Component Analysis. IEEE Access 8: 199213-199226 (2020)
• 
  Armielle Noulapeu Ngaffo, Walid El Ayeb, Zièd Choukair:
  A Bayesian Inference Based Hybrid Recommender System. IEEE Access 8: 101682-101701 (2020)
• 
  Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi, Tetsunari Inamura:
  Spatial concept-based navigation with human speech instructions via probabilistic inference on Bayesian generative model. Adv. Robotics 34(19): 1213-1228 (2020)
• 
  Evangelia Kyrimi, Somayyeh Mossadegh, Nigel Tai, William Marsh:
  An incremental explanation of inference in Bayesian networks for increasing model trustworthiness and supporting clinical decision making. Artif. Intell. Medicine 103: 101812 (2020)
• 
  Junyang Jin, Ye Yuan, Jorge M. Gonçalves:
  High precision variational Bayesian inference of sparse linear networks. Autom. 118: 109017 (2020)
• 
  Dario Piga, Alberto Bemporad, Alessio Benavoli:
  Rao-Blackwellized sampling for batch and recursive Bayesian inference of Piecewise Affine models. Autom. 117: 109002 (2020)
• 
  Boseung Choi, Yu-Yu Cheng, Selahattin Cinar, William Ott, Matthew R. Bennett, Kresimir Josic, Jae Kyoung Kim:
  Bayesian inference of distributed time delay in transcriptional and translational regulation. Bioinform. 36(2): 586-593 (2020)
• 
  Eshan D. Mitra, William S. Hlavacek:
  Bayesian inference using qualitative observations of underlying continuous variables. Bioinform. 36(10): 3177-3184 (2020)
• 
  Yannik Schälte, Jan Hasenauer:
  Efficient exact inference for dynamical systems with noisy measurements using sequential approximate Bayesian computation. Bioinform. 36(Supplement-1): i551-i559 (2020)
• 
  Wenjian Xu, Xuanshi Liu, Fei Leng, Wei Li:
  Blood-based multi-tissue gene expression inference with Bayesian ridge regression. Bioinform. 36(12): 3788-3794 (2020)
• 
  Jia Zhao, Jingsi Ming, Xianghong Hu, Gang Chen, Jin Liu, Can Yang:
  Bayesian weighted Mendelian randomization for causal inference based on summary statistics. Bioinform. 36(5): 1501-1508 (2020)
• 
  Shuji Shinohara, Nobuhito Manome, Kouta Suzuki, Ung-il Chung, Tatsuji Takahashi, Yukio-Pegio Gunji, Yoshihiro Nakajima, Shunji Mitsuyoshi:
  Extended Bayesian inference incorporating symmetry bias. Biosyst. 190: 104104 (2020)
• 
  Yuyang Qian, Kaiming Yang, Yu Zhu, Wei Wang, Chenhui Wan:
  Combining deep learning and model-based method using Bayesian Inference for walking speed estimation. Biomed. Signal Process. Control. 62: 102117 (2020)
• 
  Marcel Sala, Francesc Soriguera:
  Lane-changing and freeway capacity: A Bayesian inference stochastic model. Comput. Aided Civ. Infrastructure Eng. 35(7): 719-733 (2020)
• 
  Emrah Akkoyun, Sebastian T. Kwon, Aybar C. Acar, Whal Lee, Seungik Baek:
  Predicting abdominal aortic aneurysm growth using patient-oriented growth models with two-step Bayesian inference. Comput. Biol. Medicine 117: 103620 (2020)

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