Titlebook: KI 2020: Advances in Artificial Intelligence; 43rd German Conferen Ute Schmid,Franziska Klügl,Diedrich Wolter Conference proceedings 2020 S

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Dynamic Play via Suit Factorization Search in Skat propose mini-game solving in the . of the game, and exemplify its application as a single-dummy or double-dummy analysis tool that restricts game play to either trump or non-trump suit cards. Such factored solvers are applicable to improve card selections of the declarer and the opponents, mainly i

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Dynamic Channel and Layer Gating in Convolutional Neural Networksods for conditional computation in the context of image classification that allows a CNN to dynamically use its channels and layers conditioned on the input. To this end, we combine light-weight gating modules that can make binary decisions without causing much computational overhead. We argue, that

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Contour-Based Segmentation of Historical Printingsage layouts is still challenging, in particular, the separation of text and non-text (e.g. pictures, but also decorated initials). Fully convolutional neural nets (FCNs) with an encoder-decoder structure are currently the method of choice, if suitable training material is available. Since the variat

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Hybrid Ranking and Regression for Algorithm Selectionic instance of an algorithmic problem class. While suitability may refer to different criteria, runtime is of specific practical relevance. Leveraging empirical runtime information as training data, the AS problem is commonly tackled by fitting a regression function, which can then be used to estima

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Conditional Reasoning and Relevancemong others – the suppression task, the selection task, syllogistic reasoning, and conditional reasoning. In this paper we investigate the case where the antecedent of a conditional is true, but its consequent is unknown. We propose to apply abduction in order to find an explanation for the conseque

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Low-Rank Subspace Override for Unsupervised Domain Adaptation visual classification. Domain adaptation methods are used to improve these generalization properties. However, these techniques suffer either from being restricted to a particular task, such as visual adaptation, require a lot of computational time and data, which is not always guaranteed, have com