259 search results - page 23 / 52 » Reinforcement Learning with the Use of Costly Features |
113
Voted
GECCO
2008
Springer
15 years 1 months ago
2008
Springer
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
112
Voted
ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Multiple observation improves the performance of 3D object classification. However, since the distribution of feature vectors obtained from multiple view points have strong nonlin...
100
Voted
ICML
1994
IEEE
15 years 4 months ago
1994
IEEE
With the goal of reducing computational costs without sacrificing accuracy, we describe two algorithms to find sets of prototypes for nearest neighbor classification. Here, the te...
92
Voted
NIPS
1997
15 years 1 months ago
1997
Prioritized sweeping is a model-based reinforcement learning method that attempts to focus an agent’s limited computational resources to achieve a good estimate of the value of ...
123
Voted
NIPS
2008
15 years 1 months ago
2008
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...