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DATAMINE
2006
139views more  DATAMINE 2006»
13 years 10 months ago
VizRank: Data Visualization Guided by Machine Learning
Data visualization plays a crucial role in identifying interesting patterns in exploratory data analysis. Its use is, however, made difficult by the large number of possible data p...
Gregor Leban, Blaz Zupan, Gaj Vidmar, Ivan Bratko
UAI
1996
13 years 11 months ago
Learning Bayesian Networks with Local Structure
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
Nir Friedman, Moisés Goldszmidt
ICRA
2007
IEEE
159views Robotics» more  ICRA 2007»
14 years 4 months ago
Visual Servoing from Spheres using a Spherical Projection Model
— In this paper, we investigate the use of a spherical projection model to search for optimal visual features for visual servoing. A new minimal set of three visual features is p...
Romeo Tatsambon Fomena, François Chaumette
COLT
2008
Springer
14 years 5 days ago
How Local Should a Learning Method Be?
We consider the question of why modern machine learning methods like support vector machines outperform earlier nonparametric techniques like kNN. Our approach investigates the lo...
Alon Zakai, Yaacov Ritov
PERVASIVE
2007
Springer
14 years 4 months ago
TrackSense: Infrastructure Free Precise Indoor Positioning Using Projected Patterns
While commercial solutions for precise indoor positioning exist, they are costly and require installation of additional infrastructure, which limits opportunities for widespread ad...
Moritz Köhler, Shwetak N. Patel, Jay Summet, ...