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» Learning Bayesian Networks from Incomplete Databases
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WMTE
2002
IEEE
15 years 9 months ago
To Unlock the Learning Value of Wireless Mobile Devices, Understand Coupling
Handheld computers will become an increasingly compelling choice of technology for K-12 classrooms because they will enable a transition from occasional, supplemental use to frequ...
Jeremy Roschelle, Charles Patton, Roy D. Pea
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 4 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
WSNA
2003
ACM
15 years 9 months ago
Cleaning and querying noisy sensors
Sensor networks have become an important source of data with numerous applications in monitoring various real-life phenomena as well as industrial applications and traffic contro...
Eiman Elnahrawy, Badri Nath
ICML
2009
IEEE
15 years 11 months ago
Topic-link LDA: joint models of topic and author community
Given a large-scale linked document collection, such as a collection of blog posts or a research literature archive, there are two fundamental problems that have generated a lot o...
Yan Liu, Alexandru Niculescu-Mizil, Wojciech Gryc
PERVASIVE
2009
Springer
15 years 11 months ago
Methodologies for Continuous Cellular Tower Data Analysis
This paper presents novel methodologies for the analysis of continuous cellular tower data from 215 randomly sampled subjects in a major urban city. We demonstrate the potential of...
Nathan Eagle, John A. Quinn, Aaron Clauset