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This book examines Gaussian processes in both model-based reinforcement learning (RL) and inference in nonlinear dynamic systems.First, we introduce PILCO, a fully Bayesian approach for efficient RL in continuous-valued state and action ...
... learning models that use a Bayesian approach to solve regression problems estimating uncertainty at predictions [30]. A Gaussian process ... metric. Instead, in this work, a Bayesian optimization algorithm [32] was used for finding the best ...
... Gaussian process regression.” In: Neural Comput. 30 (2018). [BCH17] D. M. Brandman, S. S. Cash, and L. R. Hochberg ... Metric Learning.” In: Neural Comput. 26.6 (2014), pp. 1080–1107. [Bro+02] E. N. Brown, R. Barbieri, V. Ventura, R. E. ...
... metrics [GO16]. A third approach is to consider different metrics as separate criteria optimized in a multi-objective optimization framework [DO05]. The evaluation criteria can be contradictory. This turns a multi-objective optimization ...
... Process. Mag. 2014, 31, 34–44. [CrossRef] 7. Shaw, G.; Manolakis, D. Signal processing for hyperspectral image ... metric learning based anomaly detection method. IEEE Trans. Geosci. Remote Sens. 2014, 52, 6844–6857. Veracini, T ...
... Metric Learning for Large Margin Nearest Neighbor Classification. J. Mach. Learn. Res. 2009, 10, 207–244. 4. Davis ... Process. 2015, 25, 2353–2367. [CrossRef] [PubMed] 7. Datarm, M.; Immorlicam, N.; Indyk, P.; Mirroknim, V.S. Locality ...
... Gaussian Process [10]. Being based on a Bayesian inference engine, this naturally gives statistical error bounds for the estimated probabilities. Our algorithm uses active learning ... approach in Python. Despite being implemented in Python ...
Variable metric conjugate gradient methods | DE94-014796 ] 03 p0585 N95-14381 Effect of Coulomb collisions , Landau ... approach [ PB95-135463 ] 06 p1483 N95-21618 06 p1483 N95-21710 Adaptive capture of expert behavior [ DE94-018285 ] A ...
Hug, Ronny. 6. Summary. Throughout this thesis, an approach for modeling stochastic processes with bounded index sets ... metric as a performance measure was proposed. 149 6 Summary.
... approach to situational awareness of unmanned aerial vehicles. In Proceedings of the International Conference on Unmanned Aircraft Systems, Atlanta, GA, USA, 28–31 May 2013; pp. 179–188. Williams, O.; Fitzgibbon, A. Gaussian Process ...