A Tunnel Gaussian Process Model for Learning Interpretable Flight's
Landing Parameters

A Tunnel Gaussian Process Model for Learning Interpretable Flight's Landing Parameters

18 November 2020

Papers citing "A Tunnel Gaussian Process Model for Learning Interpretable Flight's Landing Parameters"

11 / 11 papers shown

Title
Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI Shane T. Mueller R. Hoffman W. Clancey Abigail Emrey Gary Klein XAI 47 286 0 05 Feb 2019
Learning Probabilistic Trajectory Models of Aircraft in Terminal Airspace from Position Data Shane T. Barratt Mykel Kochenderfer Stephen P. Boyd 31 58 0 22 Oct 2018
Deep Interest Evolution Network for Click-Through Rate Prediction Guorui Zhou Na Mou Ying Fan Qi Pi Weijie Bian Chang Zhou Xiaoqiang Zhu Kun Gai 67 1,061 0 11 Sep 2018
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification Dimitrios Milios Raffaello Camoriano Pietro Michiardi Lorenzo Rosasco Maurizio Filippone UQCV 55 75 0 28 May 2018
Exploring the Limits of Weakly Supervised Pretraining D. Mahajan Ross B. Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin R. Bharambe Laurens van der Maaten VLM 176 1,367 0 02 May 2018
Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data William Herlands E. McFowland A. Wilson Daniel B. Neill AI4TS 32 17 0 04 Apr 2018
Parametric Gaussian Process Regression for Big Data M. Raissi 69 39 0 11 Apr 2017
Understanding Probabilistic Sparse Gaussian Process Approximations Matthias Bauer Mark van der Wilk C. Rasmussen 44 259 0 15 Jun 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
Scalable Variational Gaussian Process Classification J. Hensman A. G. Matthews Zoubin Ghahramani BDL 64 642 0 07 Nov 2014
Trajectory Clustering and an Application to Airspace Monitoring Maxime Gariel A. Srivastava E. Feron 131 286 0 27 Jan 2010

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