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UAI
2008
15 years 8 months ago
Projected Subgradient Methods for Learning Sparse Gaussians
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
John Duchi, Stephen Gould, Daphne Koller
WICON
2008
15 years 8 months ago
Traffic-aware dynamic spectrum access
Demand-driven spectrum allocation can drastically improve performance for WiFi access points struggling under increasing user demands. While their frequency agility makes cognitive...
Lei Yang, Lili Cao, Heather Zheng, Elizabeth M. Be...
AAAI
2006
15 years 8 months ago
Unifying Logical and Statistical AI
Intelligent agents must be able to handle the complexity and uncertainty of the real world. Logical AI has focused mainly on the former, and statistical AI on the latter. Markov l...
Pedro Domingos, Stanley Kok, Hoifung Poon, Matthew...
CATA
2004
15 years 8 months ago
Optimal Trees for the Parametric Fixed Charge Shortest Paths Problem
We investigate a variant of the Fixed Charge Shortest Paths problem which enumerates the sequence of optimal solutions that arise as the focus shifts from the fixed cost parameter...
Fred J. Rispoli, Steven Cosares
BIOCOMP
2006
15 years 8 months ago
Petri Net Based Model Of The T Cell Receptor Signaling Pathway
Intracellular signaling pathways as well as the interactions and coordination that exist among them are complex and difficult to visualize and understand. Computer-based models of...
Srinidhi Jayasuryan, Anil Bamezai, Vijay Gehlot