1474 search results - page 188 / 295 » Using Machine Learning to Focus Iterative Optimization |
153
click to vote
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
134
click to vote
CRV
2005
IEEE
15 years 8 months ago
2005
IEEE
Docking craft in space and guiding mining machines are areas that often use remote video cameras equipped with one or more controllable light sources. In these applications, the p...
132
click to vote
GECCO
2004
Springer
15 years 8 months ago
2004
Springer
To create a realistic environment, some simulations require simulated agents with human behavior pattern. Creating such agents with realistic behavior can be a tedious and time con...
127
click to vote
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
145
click to vote
ICML
2010
IEEE
15 years 29 days ago
2010
IEEE
Temporal difference (TD) algorithms are attractive for reinforcement learning due to their ease-of-implementation and use of "bootstrapped" return estimates to make effi...