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ML
2012
ACM
385views Machine Learning» more  ML 2012»
12 years 1 months ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe
ILP
2007
Springer
13 years 12 months ago
Building Relational World Models for Reinforcement Learning
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richa...
ACCV
2007
Springer
13 years 9 months ago
Efficient Texture Representation Using Multi-scale Regions
Abstract. This paper introduces an efficient way of representing textures using connected regions which are formed by coherent multi-scale over-segmentations. We show that the rece...
Horst Wildenauer, Branislav Micusík, Markus...
BMCBI
2010
208views more  BMCBI 2010»
13 years 5 months ago
Calculation of accurate small angle X-ray scattering curves from coarse-grained protein models
Background: Genome sequencing projects have expanded the gap between the amount of known protein sequences and structures. The limitations of current high resolution structure det...
Kasper Stovgaard, Christian Andreetta, Jesper Ferk...
SEMWEB
2010
Springer
13 years 3 months ago
Supporting Natural Language Processing with Background Knowledge: Coreference Resolution Case
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
Volha Bryl, Claudio Giuliano, Luciano Serafini, Ka...