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CORR
2010
Springer
134views Education» more  CORR 2010»
15 years 3 months ago
The LASSO risk for gaussian matrices
We consider the problem of learning a coefficient vector x0 ∈ RN from noisy linear observation y = Ax0 + w ∈ Rn . In many contexts (ranging from model selection to image proce...
Mohsen Bayati, Andrea Montanari
ISSRE
2010
IEEE
15 years 2 months ago
DoDOM: Leveraging DOM Invariants for Web 2.0 Application Robustness Testing
—Web 2.0 applications are increasing in popularity. However, they are also prone to errors because of their dynamic nature. This paper presents DoDOM, an automated system for tes...
Karthik Pattabiraman, Benjamin G. Zorn
NN
2010
Springer
125views Neural Networks» more  NN 2010»
15 years 2 months 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...
TMI
2010
182views more  TMI 2010»
15 years 2 months ago
A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...
Seyoung Kim, Padhraic Smyth, Hal S. Stern
ICEIS
2010
IEEE
15 years 2 months ago
Pattern Recognition as a Human Centered non-Euclidean Problem
Regularities in the world are human defined. Patterns in the observed phenomena are there because we define and recognize them as such. Automatic pattern recognition tries to bridg...
Robert P. W. Duin