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UAI
2003
13 years 10 months ago
Large-Sample Learning of Bayesian Networks is NP-Hard
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...
IPPS
1998
IEEE
14 years 1 months ago
Fault-Tolerant Message Routing for Multiprocessors
In this paper the problem of fault-tolerant message routing in two-dimensional meshes, with each inner node having 4 neighbors, is investigated. It is assumed that some nodes/links...
Lev Zakrevski, Mark G. Karpovsky
NIPS
2004
13 years 10 months ago
A Topographic Support Vector Machine: Classification Using Local Label Configurations
The standard approach to the classification of objects is to consider the examples as independent and identically distributed (iid). In many real world settings, however, this ass...
Johannes Mohr, Klaus Obermayer
MOBIHOC
2007
ACM
14 years 8 months ago
Distributed opportunistic scheduling for ad-hoc communications: an optimal stopping approach
We consider distributed opportunistic scheduling (DOS) in wireless ad-hoc networks, where many links contend for the same channel using random access. In such networks, distribute...
Dong Zheng, Weiyan Ge, Junshan Zhang
WETICE
2005
IEEE
14 years 2 months ago
Evaluation of an awareness distribution mechanism: A simulation approach
In distributed software engineering, the role of informal communication is frequently overlooked. Participants simply employ their own ad-hoc methods of informal communication. Co...
David Nutter, Cornelia Boldyreff