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NIPS
2008
15 years 3 months ago
Partially Observed Maximum Entropy Discrimination Markov Networks
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
Jun Zhu, Eric P. Xing, Bo Zhang
NN
2010
Springer
125views Neural Networks» more  NN 2010»
15 years 9 days ago
Parameter-exploring policy gradients
We present a model-free reinforcement learning method for partially observable Markov decision problems. Our method estimates a likelihood gradient by sampling directly in paramet...
Frank Sehnke, Christian Osendorfer, Thomas Rü...
BMCBI
2006
114views more  BMCBI 2006»
15 years 1 months ago
Evaluation and comparison of mammalian subcellular localization prediction methods
Background: Determination of the subcellular location of a protein is essential to understanding its biochemical function. This information can provide insight into the function o...
Josefine Sprenger, J. Lynn Fink, Rohan D. Teasdale
INFOCOM
2006
IEEE
15 years 8 months ago
Mistreatment in Distributed Caching Groups: Causes and Implications
— Although cooperation generally increases the amount of resources available to a community of nodes, thus improving individual and collective performance, it also allows for the...
Nikolaos Laoutaris, Georgios Smaragdakis, Azer Bes...
ECCV
2000
Springer
15 years 6 months ago
Anti-Faces for Detection
This paper offers a novel detection method, which works well even in the case of a complicated image collection – for instance, a frontal face under a large class of linear tran...
Daniel Keren, Margarita Osadchy, Craig Gotsman