
Lifting DecPOMDPs for Nanoscale Systems – A Work in Progress
DNAbased nanonetworks have a wide range of promising use cases, especia...
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Improved Convergence Speed of Fully Symmetric Learning Rules for Principal Component Analysis
Fully symmetric learning rules for principal component analysis can be d...
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Derivation of Symmetric PCA Learning Rules from a Novel Objective Function
Neural learning rules for principal component / subspace analysis (PCA /...
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Derivation of Coupled PCA and SVD Learning Rules from a Newton ZeroFinding Framework
In coupled learning rules for PCA (principal component analysis) and SVD...
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Exploring Unknown Universes in Probabilistic Relational Models
Large probabilistic models are often shaped by a pool of known individua...
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Taming Reasoning in Temporal Probabilistic Relational Models
Evidence often grounds temporal probabilistic relational models over tim...
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Answering Hindsight Queries with Lifted Dynamic Junction Trees
The lifted dynamic junction tree algorithm (LDJT) efficiently answers fi...
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Preventing Unnecessary Groundings in the Lifted Dynamic Junction Tree Algorithm
The lifted dynamic junction tree algorithm (LDJT) efficiently answers fi...
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Fusing Firstorder Knowledge Compilation and the Lifted Junction Tree Algorithm
Standard approaches for inference in probabilistic formalisms with first...
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Detecting Affordances by Visuomotor Simulation
The term "affordance" denotes the behavioral meaning of objects. We prop...
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Towards Analytics Aware Ontology Based Access to Static and Streaming Data (Extended Version)
Realtime analytics that requires integration and aggregation of heterog...
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Ralf Möller
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