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PKDD
2010
Springer
122views Data Mining» more  PKDD 2010»
14 years 8 months ago
Exploration in Relational Worlds
Abstract. One of the key problems in model-based reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large relational domains, in wh...
Tobias Lang, Marc Toussaint, Kristian Kersting
CVPR
2008
IEEE
15 years 11 months ago
Small codes and large image databases for recognition
The Internet contains billions of images, freely available online. Methods for efficiently searching this incredibly rich resource are vital for a large number of applications. Th...
Antonio B. Torralba, Robert Fergus, Yair Weiss
CASES
2006
ACM
15 years 3 months ago
Adapting compilation techniques to enhance the packing of instructions into registers
The architectural design of embedded systems is becoming increasingly idiosyncratic to meet varying constraints regarding energy consumption, code size, and execution time. Tradit...
Stephen Hines, David B. Whalley, Gary S. Tyson
ESANN
2007
14 years 11 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
BMCBI
2010
277views more  BMCBI 2010»
14 years 10 months ago
PCA2GO: a new multivariate statistics based method to identify highly expressed GO-Terms
Background: Several tools have been developed to explore and search Gene Ontology (GO) databases allowing efficient GO enrichment analysis and GO tree visualization. Nevertheless,...
Marc Bruckskotten, Mario Looso, Franz Cemic, Anne ...