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CORR
2010
Springer
79views Education» more  CORR 2010»
15 years 3 months ago
Probabilistic cellular automata, invariant measures, and perfect sampling
In a probabilistic cellular automaton (PCA), the cells are updated synchronously and independently, according to a distribution depending on a finite neighborhood. A PCA can be vi...
Ana Busic, Jean Mairesse, Irene Marcovici
CACM
2011
120views more  CACM 2011»
15 years 1 months ago
The sequence memoizer
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Frank Wood, Jan Gasthaus, Cédric Archambeau...
CORR
2011
Springer
213views Education» more  CORR 2011»
15 years 1 months ago
Adapting to Non-stationarity with Growing Expert Ensembles
Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...
Cosma Rohilla Shalizi, Abigail Z. Jacobs, Aaron Cl...
TC
2011
15 years 1 months ago
Complexity of Data Collection, Aggregation, and Selection for Wireless Sensor Networks
— Processing the gathered information efficiently is a key functionality for wireless sensor networks. In this article, we study the time complexity, message complexity (number ...
Xiang-Yang Li, Yajun Wang, Yu Wang
IJRR
2011
226views more  IJRR 2011»
15 years 1 months ago
Place-dependent people tracking
Abstract People typically move and act under the constraints of an environment, making human behavior strongly place-dependent. Motion patterns, the places and the rates at which p...
Matthias Luber, Gian Diego Tipaldi, Kai Oliver Arr...
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