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GECCO
2008
Springer
147views Optimization» more  GECCO 2008»
14 years 11 months ago
On selecting the best individual in noisy environments
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
Wojciech Jaskowski, Wojciech Kotlowski
ECAI
2010
Springer
14 years 10 months ago
Variable Level-Of-Detail Motion Planning in Environments with Poorly Predictable Bodies
Motion planning in dynamic environments consists of the generation of a collision-free trajectory from an initial to a goal state. When the environment contains uncertainty, preven...
Stefan Zickler, Manuela M. Veloso
HUC
2010
Springer
14 years 10 months ago
Bayesian recognition of motion related activities with inertial sensors
This work presents the design and evaluation of an activity recognition system for seven important motion related activities. The only sensor used is an Inertial Measurement Unit ...
Korbinian Frank, Maria Josefa Vera Nadales, Patric...
ICDCSW
2007
IEEE
14 years 10 months ago
A Middleware Support for Agent-Based Application Mobility in Pervasive Environments
—Application mobility is an efficient way to mask uneven conditioning and reduce users’ distractions in pervasive environments. However, since mobility brings more dynamism and...
Yu Zhou, Jiannong Cao, Vaskar Raychoudhury, Joanna...
JAIR
2008
130views more  JAIR 2008»
14 years 9 months ago
Online Planning Algorithms for POMDPs
Partially Observable Markov Decision Processes (POMDPs) provide a rich framework for sequential decision-making under uncertainty in stochastic domains. However, solving a POMDP i...
Stéphane Ross, Joelle Pineau, Sébast...