Sciweavers

5785 search results - page 355 / 1157
» Approximability of Probability Distributions
Sort
View
139
Voted
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
15 years 10 months ago
Not all linear functions are equally difficult for the compact genetic algorithm
Estimation of distribution algorithms (EDAs) try to solve an optimization problem by finding a probability distribution focussed around its optima. For this purpose they conduct ...
Stefan Droste
ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
15 years 8 months ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo
CMOT
2010
203views more  CMOT 2010»
15 years 2 months ago
A Bayesian approach to modeling lost person behaviors based on terrain features in Wilderness Search and Rescue
: In Wilderness Search and Rescue (WiSAR), the incident commander (IC) creates a probability distribution map of the likely location of the missing person. This map is important be...
Lanny Lin, Michael A. Goodrich
ICDE
2012
IEEE
233views Database» more  ICDE 2012»
13 years 7 months ago
Accuracy-Aware Uncertain Stream Databases
Abstract— Previous work has introduced probability distributions as first-class components in uncertain stream database systems. A lacking element is the fact of how accurate the...
Tingjian Ge, Fujun Liu
COLT
1992
Springer
15 years 9 months ago
Language Learning from Stochastic Input
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
Shyam Kapur, Gianfranco Bilardi