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» Using Data Mining to Estimate Missing Sensor Data
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3DPVT
2006
IEEE
136views Visualization» more  3DPVT 2006»
16 years 8 days ago
Image Guided Geometry Inference
We introduce a new method for filling holes in geometry obtained from 3D range scanners. Our method makes use of 2D images of the areas where geometric data is missing. The 2D im...
Songhua Xu, Athinodoros S. Georghiades, Holly E. R...
SDM
2007
SIAM
131views Data Mining» more  SDM 2007»
15 years 7 months ago
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
Yijian Bai, Haixun Wang, Carlo Zaniolo
EDM
2009
147views Data Mining» more  EDM 2009»
15 years 4 months ago
Using Dirichlet priors to improve model parameter plausibility
Student modeling is a widely used approach to make inference about a student's attributes like knowledge, learning, etc. If we wish to use these models to analyze and better u...
Dovan Rai, Yue Gong, Joseph Beck
FSKD
2007
Springer
98views Fuzzy Logic» more  FSKD 2007»
16 years 11 days ago
Learning Selective Averaged One-Dependence Estimators for Probability Estimation
Naïve Bayes is a well-known effective and efficient classification algorithm, but its probability estimation performance is poor. Averaged One-Dependence Estimators, simply AODE,...
Qing Wang, Chuan-hua Zhou, Jiankui Guo
KDD
2004
ACM
154views Data Mining» more  KDD 2004»
16 years 6 months ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker