165 citations · 717 across the 68 of their papers we have counts for
4 papers · 1 filter
Robust Bayesian Cluster Enumeration Based on the Distribution
Freweyni K. Teklehaymanot, Michael Muma, Abdelhak M. Zoubir
A major challenge in cluster analysis is that the number of data clusters is mostly unknown and it must be estimated prior to clustering the observed data. In real-world applicatio…
Dictionary Learning Strategies for Compressed Fiber Sensing Using a Probabilistic Sparse Model
Christian Weiss, Abdelhak M. Zoubir
We present a sparse estimation and dictionary learning framework for compressed fiber sensing based on a probabilistic hierarchical sparse model. To handle severe dictionary cohere…
A Bayesian Approach to Policy Recognition and State Representation Learning
Adrian Šošić, Abdelhak M. Zoubir, Heinz Koeppl
Learning from demonstration (LfD) is the process of building behavioral models of a task from demonstrations provided by an expert. These models can be used e.g. for system control…
Inverse Reinforcement Learning in Swarm Systems
Adrian Šošić, Wasiur R. KhudaBukhsh, Abdelhak M. Zoubir +1
Inverse reinforcement learning (IRL) has become a useful tool for learning behavioral models from demonstration data. However, IRL remains mostly unexplored for multi-agent systems…