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ECAI
2010
Springer
13 years 7 months ago
Learning action effects in partially observable domains
We investigate the problem of learning action effects in partially observable STRIPS planning domains. Our approach is based on a voted kernel perceptron learning model, where act...
Kira Mourão, Ronald P. A. Petrick, Mark Ste...
CEC
2010
IEEE
13 years 6 months ago
Exploring the Kuramoto model of coupled oscillators in minimally cognitive evolutionary robotics tasks
— This work is the first attempt to investigate the neural dynamics of a simulated robotic agent engaged in minimally cognitive tasks by employing evolved instances of the Kuram...
Renan C. Moioli, Patrícia Amâncio Var...
SPEECH
1998
118views more  SPEECH 1998»
13 years 5 months ago
Dimensionality reduction of electropalatographic data using latent variable models
We consider the problem of obtaining a reduced dimension representation of electropalatographic (EPG) data. An unsupervised learning approach based on latent variable modelling is...
Miguel Á. Carreira-Perpiñán, ...
ARCS
2005
Springer
13 years 11 months ago
Adaptive Object Acquisition
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
Gabriele Peters, Claus-Peter Alberts, Markus Bries...
ICDE
2012
IEEE
304views Database» more  ICDE 2012»
11 years 8 months ago
Learning-based Query Performance Modeling and Prediction
— Accurate query performance prediction (QPP) is central to effective resource management, query optimization and query scheduling. Analytical cost models, used in current genera...
Mert Akdere, Ugur Çetintemel, Matteo Rionda...