Jose Principe; Robert Jenssen; An Information Theoretic Perspective to Kernel Independent Component Analysis 2005. Scientific lecture

Robert Jenssen; The Information Cut and Graph Spectral Clustering 2004. Scientific lecture

Robert Jenssen; Jose c. Principe; Torbjørn Eltoft; Cauchy-Schwartz pdf Divergence Measure for non-Parametric Clustering 2003. Scientific lecture

Robert Jenssen; Jose c. Principe; Torbjørn Eltoft; Information Force Clustering using Directed Trees 2003. Scientific lecture

Robert Jenssen; Jose c. Principe; Torbjørn Eltoft; Information Cut and Information Forces for Clustering 2003. Scientific lecture

Robert Jenssen; Jose c. Principe; Torbjørn Eltoft; Clustering using Renyi's Entropy 2003. Scientific lecture

Robert Jenssen; Tor Arne Øigård; Torbjørn Eltoft; Alfred Hanssen; Sparse code shrinkage based on the normal inverse Gaussian density model 2001. Scientific lecture

Robert Jenssen; Tor Arne Øigård; Torbjørn Eltoft; Alfred Hanssen; Sparse code shrinkage based on the normal inverse Gaussian density model 2001. Scientific lecture

Jo Inge Buskenes; Carl-Inge Colombo Nilsen; Andreas Austeng; A Low Complexity Adaptive Beamformer for Active Sonar Imaging 2011. Scientific lecture

Sverre Holm; Carl-Inge Colombo Nilsen; Robust ultrasonic indoor positioning using transmitter arrays 2010. Scientific lecture

Nils Olav Handegard; Stian Jacobsen; Espen Johnsen; Rolf Korneliussen; Ingrid Utseth; Implementing uncrewed surface vehicles in existing acoustic trawl surveys: data infrastructure, remote operating centre, edge computing, data compression and transfer, data quality monitoring, and automated target classification 2025. Scientific lecture

Jim Tørresen; Trenton Wade Schulz; Md Zia Uddin; Weria Khaksar; Edson Prestes; Robot Companions for Older People – Ethical Concerns 2018. Scientific lecture

Trenton Wade Schulz; Privacy at Home: An Inquiry into Sensors and Robots for the Stay at Home Elderly 2018. Scientific lecture

Trenton Wade Schulz; Moving with Style: Classifying movement with Humans & Robots 2018. Scientific lecture

Trenton Wade Schulz; Facilitating Robots at Home: A Framework for Understanding Robot Facilitation 2018. Scientific lecture

Trenton Wade Schulz; Making Robots Move Using Animation Techniques 2018. Scientific lecture

Weria Khaksar; Md Zia Uddin; Trenton Wade Schulz; Jim Tørresen; Introducing a Robotic Multimodal Elderly Care system (MECS) 2018. Scientific lecture

Trenton Wade Schulz; Presentation: Walking Away from the Robot: Negotiating Privacy with a Robot 2017. Scientific lecture

Pierre Lison; Probabilistic Dialogue Models with Prior Domain Knowledge , 2012. Scientific lecture

Pierre Lison; Dialogue Management with Probabilistic Rules , 2012. Scientific lecture

Pierre Lison; An Introduction to Machine Learning , 2012. Scientific lecture

Pierre Lison; Towards relational POMDPS for adaptive dialogue management 2010. Scientific lecture

Geir Olve Storvik; Bayesian approaches to neural networks 2019. Scientific lecture

Geir Olve Storvik; Magnus Dehli Vigeland; Amke Caliebe; Thore Egeland; Specification of mutation probabilities through Metropolis-Hastings steps 2018. Scientific lecture

Aliaksandr Hubin; Geir Olve Storvik; Florian Frommlet; Deep Bayesian regression models 2018. Scientific lecture

Aliaksandr Hubin; Geir Olve Storvik; Florian Frommlet; A novel algorithmic approach to Bayesian Logic Regression 2017. Scientific lecture

Erik Vanem; Ingrid Kristine Glad; Geir Olve Storvik; Dynamical Linear Models for Condition Monitoring with Multivariate Sensor Data 2016. Scientific lecture

Geir Olve Storvik; Reinaldo Marques; Estimation of static parameters using particle filters and a block independence approximation 2014. Scientific lecture

Geir Olve Storvik; Computational tools for analysis of models with latent structures 2013. Scientific lecture

Geir Olve Storvik; Bayesian approaches to neural networks 2012. Scientific lecture

Geir Olve Storvik; On the flexibility of acceptance probabilities in auxiliary variable Metropolis-Hastings algorithms 2010. Scientific lecture

Geir Olve Storvik; Lise Heier; Hildegunn Viljugrein; Nils Christian Stenseth; Bayesian analysis of plague in Kazakhstan 2010. Scientific lecture

Geir Olve Storvik; Lise Heier; Nils Christian Stenseth; Bård Øyvind Kvaal; Bayesian analysis of plague in Kazakhstan 2010. Scientific lecture

Geir Olve Storvik; On the flexibility of acceptance probabilities in auxiliary variable Metropolis-Hastings algorithms 2009. Scientific lecture

Geir Olve Storvik; Plague in Kazakhstan - A case study 2009. Scientific lecture

Jaime Otero Villar; Arne J. Jensen; Jan Henning L'Abée-Lund; Nils Christian Stenseth; Geir Olve Storvik; Leif Asbjørn Vøllestad; Factors affecting year-to-year and within river variability of one-sea-winter Atlantic salmon in Norwegian rivers 2009. Scientific lecture

Geir Olve Storvik; Sekvensiell Monte Carlo (eller Partikkelfiltre) 2009. Scientific lecture

Geir Olve Storvik; Sekvensiell Monte Carlo (eller Partikkelfiltre) 2009. Scientific lecture

Geir Olve Storvik; Quantification of evidence when suspects are found by searches through DNA databases 2009. Scientific lecture

Geir Olve Storvik; Quantification of evidence when suspects are found by searches through DNA databases 2009. Scientific lecture

Geir Olve Storvik; Modelling Pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical space-time model 2008. Scientific lecture

Geir Olve Storvik; Modelling Pollock egg counts from the western Gulf of Alaska by a zero-inflated Bayesian hierarchical space-time model 2008. Scientific lecture

Geir Olve Storvik; On the flexibility of importance weights in importance sampling and Markov chain Monte Carlo 2008. Scientific lecture

Geir Olve Storvik; On the flexibility of importance weights in importance sampling and Markov chain Monte Carlo 2008. Scientific lecture

Geir Olve Storvik; Intro til Bayesiansk Statistikk 2007. Scientific lecture

Geir Olve Storvik; Intro til Bayesiansk Statistikk 2007. Scientific lecture

Geir Olve Storvik; Posterior and Prior Predictive p-values in Bayesian Hierarchical models 2007. Scientific lecture

Geir Olve Storvik; Posterior and Prior Predictive p-values in Bayesian Hierarchical models 2007. Scientific lecture

Geir Olve Storvik; The DNA database search controversy revisited: Bridging the Bayesian - Frequentist gap 2007. Scientific lecture

Geir Olve Storvik; The DNA database search controversy revisited: Bridging the Bayesian - Frequentist gap 2007. Scientific lecture