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AI
2002
Springer
15 years 6 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 ...
INFOCOM
2010
IEEE
15 years 4 months ago
Beyond Triangle Inequality: Sifting Noisy and Outlier Distance Measurements for Localization
—Knowing accurate positions of nodes in wireless ad-hoc and sensor networks is essential for a wide range of pervasive and mobile applications. However, errors are inevitable in ...
Lirong Jian, Zheng Yang, Yunhao Liu
ADVAI
2010
110views more  ADVAI 2010»
15 years 19 days ago
Using Genetic Algorithms to Represent Higher-Level Planning in Simulation Models of Conflict
The focus of warfare has shifted from the Industrial Age to the Information Age, as encapsulated by the term Network Enabled Capability. This emphasises information sharing, comma...
James Moffat, Susan Fellows
JMLR
2012
13 years 8 months ago
Domain Adaptation: A Small Sample Statistical Approach
We study the prevalent problem when a test distribution differs from the training distribution. We consider a setting where our training set consists of a small number of sample d...
Ruslan Salakhutdinov, Sham M. Kakade, Dean P. Fost...
MM
2004
ACM
109views Multimedia» more  MM 2004»
15 years 11 months ago
Loss-resilient on-demand media streaming using priority encoding
A novel solution to the reliable multicast problem is the “digital fountain” approach, in which data is encoded with an erasure protection code before transmission, and receiv...
Cheng Huang, Ramaprabhu Janakiraman, Lihao Xu