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» Using Data Mining to Estimate Missing Sensor Data
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SDM
2010
SIAM
166views Data Mining» more  SDM 2010»
15 years 7 months ago
A Permutation Approach to Validation
We give a permutation approach to validation (estimation of out-sample error). One typical use of validation is model selection. We establish the legitimacy of the proposed permut...
Malik Magdon-Ismail, Konstantin Mertsalov
WWW
2004
ACM
16 years 6 months ago
Mining models of human activities from the web
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...
EDM
2008
92views Data Mining» more  EDM 2008»
15 years 7 months ago
Mining Free-form Spoken Responses to Tutor Prompts
How can an automated tutor assess children's spoken responses despite imperfect speech recognition? We address this challenge in the context of tutoring children in explicit s...
Xiaonang Zhang, Jack Mostow, Nell Duke, Christina ...
ICRA
2006
IEEE
83views Robotics» more  ICRA 2006»
16 years 6 days ago
On the Treatment of Relative-pose Measurements for Mobile Robot Localization
— In this paper, we study the problem of localization using relative-state estimates. It is shown, that when the same exteroceptive sensor measurement is processed for the comput...
Anastasios I. Mourikis, Stergios I. Roumeliotis
KDD
2006
ACM
163views Data Mining» more  KDD 2006»
16 years 6 months ago
New EM derived from Kullback-Leibler divergence
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...
Longin Jan Latecki, Marc Sobel, Rolf Lakämper