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■ Abbreviation / Long Form : GPs / Gaussian processes

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Total Number of Papers: 27
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Abbreviation:   GPs  (>> Co-occurring Abbreviation)
Long Form:   Gaussian processes
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No. Year Title Co-occurring Abbreviation
2019 A stochastic variational framework for Recurrent Gaussian Processes models. RGPs, S-REVARB
2019 Funneled Bayesian Optimization for Design, Tuning and Control of Autonomous Systems. BO
2019 Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems. ---
2019 Robotic Active Information Gathering for Spatial Field Reconstruction with Rapidly-Exploring Random Trees and Online Learning of Gaussian Processes. IG, RRT
2018 A Two-Layer Mixture Model of Gaussian Process Functional Regressions and Its MCMC EM Algorithm. GPFRs, MCMC, MGPFRs
2018 Branch-recombinant Gaussian processes for analysis of perturbations in biological time series. B-RGPs
2018 Cardiorespiratory Model-Based Data-Driven Approach for Sleep Apnea Detection. OSA
2018 Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks. LSTM
2018 Efficient Reinforcement Learning via Probabilistic Trajectory Optimization. PDDP
10  2018 Toward a diagnostic toolkit for linear models with Gaussian-process distributed random effects. AVP
11  2018 Tracking-by-Fusion via Gaussian Process Regression Extended to Transfer Learning. CFs, GPR
12  2018 Visual Information Fusion through Bayesian Inference for Adaptive Probability-Oriented Feature Matching. SURF
13  2017 Gaussian Process Domain Experts for Modeling of Facial Affect. ---
14  2017 Segmenting Continuous Motions with Hidden Semi-markov Models and Gaussian Processes. GP-HSMM, HSMM
15  2017 Tracking and diameter estimation of retinal vessels using Gaussian process and Radon transform. MCC
16  2017 Transform Coding for Point Clouds Using a Gaussian Process Model. GPTs
17  2016 A flexible cure rate model for spatially correlated survival data based on generalized extreme value distribution and Gaussian process priors. ---
18  2016 Approximate parameter inference in systems biology using gradient matching: a comparative evaluation. ODEs, RKHS
19  2016 Outcome Prediction for Patients with Traumatic Brain Injury with Dynamic Features from Intracranial Pressure and Arterial Blood Pressure Signals: A Gaussian Process Approach. PRx, TBI
20  2015 Efficient estimation of tissue thicknesses using sparse approximation for Gaussian processes. RMSE, SoD
21  2015 Hyperparameter Selection for Gaussian Process One-Class Classification. OCC
22  2012 Nonparametric mixtures of gaussian processes with power-law behavior. ---
23  2010 Acquiring variable moment arms for index finger using a robotic testbed. ACT
24  2009 Validation-based sparse Gaussian process classifier design. NLP
25  2008 mlegp: statistical analysis for computer models of biological systems using R. ---
26  2004 Gaussian processes for machine learning. ---
27  2002 Bayesian framework for least-squares support vector machine classifiers, gaussian processes, and kernel Fisher discriminant analysis. LS-SVMs, MLPs, QP, SVMs