Nielsen, Thomas D.

14 publications

NeurIPS 2024 Revisiting K-Mer Profile for Effective and Scalable Genome Representation Learning Abdulkadir Çelikkanat, Andres R. Masegosa, Thomas D. Nielsen

PGM 2022 A Reparameterization of Mixtures of Truncated Basis Functions and Its Applications Antonio Salmerón, Helge Langseth, Andrés Masegosa, Thomas D. Nielsen

PGM 2020 Preface Thomas D. Nielsen, Manfred Jaeger

JAIR 2018 A Review of Inference Algorithms for Hybrid Bayesian Networks Antonio Salmerón, Rafael Rumí, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen

ICML 2017 Bayesian Models of Data Streams with Hierarchical Power Priors Andrés Masegosa, Thomas D. Nielsen, Helge Langseth, Darı́o Ramos-López, Antonio Salmerón, Anders L. Madsen

PGM 2016 D-VMP: Distributed Variational Message Passing Andrés R. Masegosa, Ana M. Martı́nez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Darío Ramos-López, Anders L. Madsen

MLJ 2016 Learning Deterministic Probabilistic Automata from a Model Checking Perspective Hua Mao, Yingke Chen, Manfred Jaeger, Thomas D. Nielsen, Kim G. Larsen, Brian Nielsen

PGM 2016 Scalable MAP Inference in Bayesian Networks Based on a mAP-Reduce Approach Darı́o Ramos-López, Antonio Salmerón, Rafel Rumı́, Ana M. Martı́nez, Thomas D. Nielsen, Andrés R. Masegosa, Helge Langseth, Anders L. Madsen

MLJ 2006 Classification Using Hierarchical Naïve Bayes Models Helge Langseth, Thomas D. Nielsen

MLJ 2005 Latent Classification Models Helge Langseth, Thomas D. Nielsen

JMLR 2003 Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains Helge Langseth, Thomas D. Nielsen

UAI 2000 Representing and Solving Asymmetric Bayesian Decision Problems Thomas D. Nielsen, Finn Verner Jensen

UAI 2000 Using ROBDDs for Inference in Bayesian Networks with Troubleshooting as an Example Thomas D. Nielsen, Pierre-Henri Wuillemin, Finn Verner Jensen, Uffe Kjærulff

UAI 1999 Welldefined Decision Scenarios Thomas D. Nielsen, Finn Verner Jensen