Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Otte, Clemens"'
The analysis of variance (ANOVA) decomposition offers a systematic method to understand the interaction effects that contribute to a specific decision output. In this paper we introduce Neural-ANOVA, an approach to decompose neural networks into glas
Externí odkaz:
http://arxiv.org/abs/2408.12319
The paper proposes a new testing approach for Deep Neural Networks (DNN) using gradient-free optimization to find perturbation chains that successfully falsify the tested DNN, going beyond existing grid-based or combinatorial testing. Applying it to
Externí odkaz:
http://arxiv.org/abs/2408.00783
Safe Policy Improvement (SPI) is an important technique for offline reinforcement learning in safety critical applications as it improves the behavior policy with a high probability. We classify various SPI approaches from the literature into two gro
Externí odkaz:
http://arxiv.org/abs/2208.00724
Safe Policy Improvement (SPI) aims at provable guarantees that a learned policy is at least approximately as good as a given baseline policy. Building on SPI with Soft Baseline Bootstrapping (Soft-SPIBB) by Nadjahi et al., we identify theoretical iss
Externí odkaz:
http://arxiv.org/abs/2201.12175
In this paper, we present a Bayesian view on model-based reinforcement learning. We use expert knowledge to impose structure on the transition model and present an efficient learning scheme based on variational inference. This scheme is applied to a
Externí odkaz:
http://arxiv.org/abs/1907.04902
The data association problem is concerned with separating data coming from different generating processes, for example when data come from different data sources, contain significant noise, or exhibit multimodality. We present a fully Bayesian approa
Externí odkaz:
http://arxiv.org/abs/1810.07158
We propose a novel Bayesian approach to modelling nonlinear alignments of time series based on latent shared information. We apply the method to the real-world problem of finding common structure in the sensor data of wind turbines introduced by the
Externí odkaz:
http://arxiv.org/abs/1710.02766
Publikováno v:
In Neurocomputing 27 November 2020 416:352-359
Autor:
Otte, Clemens
Publikováno v:
Computational Intelligence in Intelligent Data Analysis; 2013, p111-122, 12p