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https://aclanthology.org/C14-1016/ A Probabilistic Model for Learning Multi-Prototype Word Embeddings - ACL Anthology Fei Tian, Hanjun Dai, Jiang Bian, Bin Gao, Rui Zhang, Enhong Chen, Tie-Yan Liu. Proceedings of COLING 2014, the 25th International Conference on Computational... probabilistic model for learning word embeddings https://deepai.org/publication/a-probabilistic-model-of-the-bitcoin-blockchain A Probabilistic Model of the Bitcoin Blockchain | DeepAI Nov 7, 2018 - 11/07/18 - The Bitcoin transaction graph is a public data structure organized as transactions between addresses, each associated with a logic... probabilistic model of the bitcoin blockchain deepai https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2010.00037/full Frontiers | Probabilistic Model of Onset Detection Explains Paradoxes in Human Time Perception A very basic computational model is proposed to explain two puzzling findings in the time perception literature. First, spontaneous motor actions are precede... probabilistic model onset detection https://www.aanda.org/articles/aa/abs/2025/04/aa51753-24/aa51753-24.html A probabilistic model to estimate number densities from column densities in molecular clouds |... probabilistic model https://openreview.net/forum?id=UsqeHx9Mbx FraGNNet: A Deep Probabilistic Model for Tandem Mass Spectrum Prediction | OpenReview Compound identification from tandem mass spectrometry (MS/MS) data is a critical step in the analysis of complex mixtures. Typical solutions for the MS/MS... a deep probabilistic model mass spectrum https://www.sri.com/publication/artificial-intelligence-pubs/a-probabilistic-model-for-uncertain-problem-solving/ A Probabilistic Model For Uncertain Problem Solving - SRI Feb 17, 2023 - The model presented is a probabilistic generalization of the familiar notion of problem space. The specification of uncertain states and unreliable operators... probabilistic model problem solving uncertain sri https://deepai.org/publication/self-calibrating-neural-probabilistic-model-for-authorship-verification-under-covariate-shift Self-Calibrating Neural-Probabilistic Model for Authorship Verification Under Covariate Shift |... Jun 21, 2021 - 06/21/21 - We are addressing two fundamental problems in authorship verification (AV): Topic variability and miscalibration. Variations in th... probabilistic model self calibrating neural https://studylib.net/doc/27674797/probabilistic-model-code--single-files--part-i-%E2%80%93-basis-of... Probabilistic Model Code: Basis of Design Explore the principles of probabilistic design for load-bearing structures. Covers reliability, uncertainty, and target reliability. probabilistic model code basis design https://arxiv.org/abs/1410.7469v1 [1410.7469v1] On-the-fly Probabilistic Model Checking Abstract page for arXiv paper 1410.7469v1: On-the-fly Probabilistic Model Checking on the fly probabilistic model 1410 checking https://deepai.org/publication/a-probabilistic-model-of-interaction-dynamics-for-dyadic-face-to-face-settings A Probabilistic Model Of Interaction Dynamics for Dyadic Face-to-Face Settings | DeepAI Jul 10, 2022 - 07/10/22 - Natural conversations between humans often involve a large number of non-verbal nuanced expressions, displayed at key times throug... probabilistic model https://www.usgs.gov/publications/2018-update-us-national-seismic-hazard-model-where-why-and-how-much-probabilistic The 2018 update of the US National Seismic Hazard Model: Where, why, and how much probabilistic... The 2018 US Geological Survey National Seismic Hazard Model (NSHM) incorporates new data and updated science to improve the underlying earthquake and ground... https://deepai.org/publication/a-probabilistic-model-for-fast-to-evaluate-2d-crack-path-prediction-in-heterogeneous-materials A probabilistic model for fast-to-evaluate 2D crack path prediction in heterogeneous materials |... Dec 27, 2021 - 12/27/21 - This paper is devoted to the construction of a new fast-to-evaluate model for the prediction of 2D crack paths in concrete-like mi... https://www.sintef.no/en/publications/publication/1923545/ A probabilistic rainfall model to estimate the leading-edge lifetime of wind turbine blade coating... https://www.econstor.eu/handle/10419/101080 EconStor: Automatic and probabilistic foehn diagnosis with a statistical mixture model EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW. with a econstor automatic probabilistic foehn