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Modeling and Visualizing Uncertainty in Gene Expression Clusters Using Dirichlet Process Mixtures
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Carl Edward Rasmussen, Bernard J. de la Cruz, Zoubin Ghahramani, David L. Wild
Issue Date:October 2009
pp. 615-628
Although the use of clustering methods has rapidly become one of the standard computational approaches in the literature of microarray gene expression data, little attention has been paid to uncertainty in the results obtained. Dirichlet process mixture (D...
 
Gaussian Processes for Data-Efficient Learning in Robotics and Control
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Marc Peter Deisenroth,Dieter Fox,Carl Edward Rasmussen
Issue Date:May 2014
pp. 1
Autonomous learning has been a promising direction in control and robotics for more than a decade since data-driven learning allows to reduce the amount of engineering knowledge, which is otherwise required. However, autonomous reinforcement learning (RL) ...
   
A choice model with infinitely many latent features
Found in: Proceedings of the 23rd international conference on Machine learning (ICML '06)
By Carl Edward Rasmussen, Dilan Gorur, Frank Jakel
Issue Date:June 2006
pp. 361-368
Elimination by aspects (EBA) is a probabilistic choice model describing how humans decide between several options. The options from which the choice is made are characterized by binary features and associated weights. For instance, when choosing which mobi...
     
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