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AI
2002
Springer
15 years 3 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
ICRA
2007
IEEE
150views Robotics» more  ICRA 2007»
15 years 9 months ago
Enhancing Software Modularity and Extensibility: A Case for using Generic Data Representations
— Portable, modular and extensible software allows robotics researchers to pool their resources by sharing algorithms, thus advancing research in the field of robotics at a fast...
Gregory Broten
ESA
2010
Springer
183views Algorithms» more  ESA 2010»
15 years 4 months ago
Spatio-temporal Range Searching over Compressed Kinetic Sensor Data
As sensor networks increase in size and number, efficient techniques are required to process the very large data sets that they generate. Frequently, sensor networks monitor object...
Sorelle A. Friedler, David M. Mount
ISBI
2009
IEEE
15 years 10 months ago
A Data-Driven Approach to Discovering Common Brain Anatomy
An atlas defines a common coordinate system to enable the comparison of data from different subjects. Key in the development of a brain atlas are the identification of a common ...
Neil I. Weisenfeld, Simon K. Warfield
CIKM
2009
Springer
15 years 9 months ago
L2 norm regularized feature kernel regression for graph data
Features in many real world applications such as Cheminformatics, Bioinformatics and Information Retrieval have complex internal structure. For example, frequent patterns mined fr...
Hongliang Fei, Jun Huan