236 search results - page 2 / 48 » Bias and Variance Approximation in Value Function Estimates |
ICPR
2000
IEEE
14 years 8 months ago
2000
IEEE
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
AAAI
2008
13 years 9 months ago
2008
Partially Observable Markov Decision Processes have been studied widely as a model for decision making under uncertainty, and a number of methods have been developed to find the s...
NIPS
2001
13 years 8 months ago
2001
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
MLCW
2005
Springer
14 years 28 days ago
2005
Springer
In many regression tasks, in addition to an accurate estimate of the conditional mean of the target distribution, an indication of the predictive uncertainty is also required. Ther...
BMCBI
2006
13 years 7 months ago
2006
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...