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ICRA
2003
IEEE
103views Robotics» more  ICRA 2003»
15 years 3 months ago
Automatic detection and response to environmental change
— Robots typically have many sensors which are underutilized. This is usually because no simple mathematical models of the sensors have been developed or the sensors are too nois...
Scott Lenser, Manuela M. Veloso
ICML
2009
IEEE
15 years 10 months ago
Exploiting sparse Markov and covariance structure in multiresolution models
We consider Gaussian multiresolution (MR) models in which coarser, hidden variables serve to capture statistical dependencies among the finest scale variables. Tree-structured MR ...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
JMLR
2010
134views more  JMLR 2010»
14 years 4 months ago
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Jan Lemeire, Kris Steenhaut
NAACL
2007
14 years 11 months ago
Translation Model Pruning via Usage Statistics for Statistical Machine Translation
We describe a new pruning approach to remove phrase pairs from translation models of statistical machine translation systems. The approach applies the original translation system ...
Matthias Eck, Stephan Vogel, Alex Waibel
WIOPT
2005
IEEE
15 years 3 months ago
Interference Power Sum with Log-Normal Components in Ad-Hoc and Sensor Networks
The log-normal shadowing radio model has frequently been used to model radio propagation conditions. There exist accurate calculation methods for estimation of interference power ...
Ramin Hekmat, Piet Van Mieghem