904 search results - page 57 / 181 » Machine learning for stock selection |
CP
2010
Springer
13 years 6 months ago
2010
Springer
The automatic tuning of the parameters of algorithms and automatic selection of algorithms has received a lot of attention recently. One possible approach is the use of machine lea...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...
AUSAI
2005
Springer
14 years 2 months ago
2005
Springer
SuperParent-One-Dependence Estimators (SPODEs) loosen Naive-Bayes’ attribute independence assumption by allowing each attribute to depend on a common single attribute (superpare...
CIKM
2009
Springer
14 years 20 days ago
2009
Springer
In some retrieval situations, a system must search across multiple collections. This task, referred to as federated search, occurs for example when searching a distributed index o...
ICML
1997
IEEE
14 years 9 months ago
1997
IEEE
Abstract: We investigate the structure of model selection problems via the bias/variance decomposition. In particular, we characterize the essential structure of a model selection ...