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NIPS
2003
13 years 11 months ago
Semi-Supervised Learning with Trees
We describe a nonparametric Bayesian approach to generalizing from few labeled examples, guided by a larger set of unlabeled objects and the assumption of a latent tree-structure ...
Charles Kemp, Thomas L. Griffiths, Sean Stromsten,...
CORR
2011
Springer
192views Education» more  CORR 2011»
13 years 5 months ago
On cooperative patrolling: optimal trajectories, complexity analysis, and approximation algorithms
—The subject of this work is the patrolling of an environment with the aid of a team of autonomous agents. We consider both the design of open-loop trajectories with optimal prop...
Fabio Pasqualetti, Antonio Franchi, Francesco Bull...
ML
2012
ACM
413views Machine Learning» more  ML 2012»
12 years 5 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
SPAA
2010
ACM
14 years 2 months ago
Delays induce an exponential memory gap for rendezvous in trees
The aim of rendezvous in a graph is meeting of two mobile agents at some node of an unknown anonymous connected graph. The two identical agents start from arbitrary nodes in the g...
Pierre Fraigniaud, Andrzej Pelc
CORR
2008
Springer
136views Education» more  CORR 2008»
13 years 10 months ago
Data Fusion Trees for Detection: Does Architecture Matter?
We consider the problem of decentralized detection in a network consisting of a large number of nodes arranged as a tree of bounded height, under the assumption of conditionally in...
Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win