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AUSAI
2006
Springer
13 years 11 months ago
Modular Bayesian Networks for Inferring Landmarks on Mobile Daily Life
Abstract. Mobile devices get to handle much information thanks to the convergence of diverse functionalities. Their environment has great potential of supporting customized service...
Keum-Sung Hwang, Sung-Bae Cho
AAAI
2008
13 years 10 months ago
Multi-HDP: A Non Parametric Bayesian Model for Tensor Factorization
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...
Ian Porteous, Evgeniy Bart, Max Welling
JMLR
2012
11 years 10 months ago
Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics
We consider the task of estimating, from observed data, a probabilistic model that is parameterized by a finite number of parameters. In particular, we are considering the situat...
Michael Gutmann, Aapo Hyvärinen
ICRA
2007
IEEE
151views Robotics» more  ICRA 2007»
14 years 1 months ago
Sensor Analysis for Fault Detection in Tightly-Coupled Multi-Robot Team Tasks
— This paper presents a sensor analysis based fault detection approach (which we call SAFDetection) that is used to monitor tightly-coupled multi-robot team tasks. Our approach a...
Xingyan Li, Lynne E. Parker
EMNLP
2011
12 years 7 months ago
Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
Ashish Venugopal, Jakob Uszkoreit, David Talbot, F...