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» On Probabilistic Alternating Simulations
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96
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SDM
2003
SIAM
129views Data Mining» more  SDM 2003»
14 years 11 months ago
Approximate Query Answering by Model Averaging
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...
Dmitry Pavlov, Padhraic Smyth
67
Voted
BMCBI
2008
149views more  BMCBI 2008»
14 years 10 months ago
Accelerating the annotation of sparse named entities by dynamic sentence selection
This paper presents an active learning-like framework for reducing the human effort for making named entity annotations in a corpus. In this framework, the annotation work is perf...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
84
Voted
ICDM
2010
IEEE
166views Data Mining» more  ICDM 2010»
14 years 8 months ago
Exponential Family Tensor Factorization for Missing-Values Prediction and Anomaly Detection
In this paper, we study probabilistic modeling of heterogeneously attributed multi-dimensional arrays. The model can manage the heterogeneity by employing an individual exponential...
Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibat...
85
Voted
ICML
2004
IEEE
15 years 11 months ago
Approximate inference by Markov chains on union spaces
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
Max Welling, Michal Rosen-Zvi, Yee Whye Teh
80
Voted
CVPR
2010
IEEE
15 years 6 months ago
Denoising vs. Deblurring: HDR Imaging Techniques Using Moving Cameras
New cameras such as the Canon EOS 7D and Pointgrey Grasshopper have 14-bit sensors. We present a theoretical analysis and a practical approach that exploit these new cameras with ...
Li Zhang, Alok Deshpande, Xin Chen