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» Using Data Mining to Estimate Missing Sensor Data
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ICRA
2005
IEEE
109views Robotics» more  ICRA 2005»
15 years 11 months ago
Towards an Estimate of Confidence in a Road-Matched Location
- This paper describes a method that provides an estimated location of an outdoor vehicle relative to a digital road map using Belief Theory and Kalman filtering. Firstly, an Exten...
Maan E. El Najjar, Philippe Bonnifait
UAI
1997
15 years 7 months ago
Update Rules for Parameter Estimation in Bayesian Networks
This paper re-examines the problem of parameter estimation in Bayesian networks with missing values and hidden variables from the perspective of recent work in on-line learning [1...
Eric Bauer, Daphne Koller, Yoram Singer
NN
2010
Springer
183views Neural Networks» more  NN 2010»
15 years 4 months ago
Dimensionality reduction for density ratio estimation in high-dimensional spaces
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
Masashi Sugiyama, Motoaki Kawanabe, Pui Ling Chui
CIKM
2011
Springer
14 years 6 months ago
Mining entity translations from comparable corpora: a holistic graph mapping approach
This paper addresses the problem of mining named entity translations from comparable corpora, specifically, mining English and Chinese named entity translation. We first observe...
Jinhan Kim, Long Jiang, Seung-won Hwang, Young-In ...
ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
16 years 6 days ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti