Sciweavers

904 search results - page 15 / 181
» Machine learning for stock selection
Sort
View
ICML
2004
IEEE
14 years 9 months ago
Multi-task feature and kernel selection for SVMs
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
Tony Jebara
COLT
2005
Springer
14 years 2 months ago
Trading in Markovian Price Models
We examine a Markovian model for the price evolution of a stock, in which the probability of local upward or downward movement is arbitrarily dependent on the current price itself...
Sham M. Kakade, Michael J. Kearns
ICDM
2010
IEEE
187views Data Mining» more  ICDM 2010»
13 years 6 months ago
Financial Forecasting with Gompertz Multiple Kernel Learning
Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both...
Han Qin, Dejing Dou, Yue Fang
ICML
2003
IEEE
14 years 9 months ago
Incorporating Diversity in Active Learning with Support Vector Machines
In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
Klaus Brinker
ICML
2004
IEEE
14 years 9 months ago
Ensemble selection from libraries of models
We present a method for constructing ensembles from libraries of thousands of models. Model libraries are generated using different learning algorithms and parameter settings. For...
Rich Caruana, Alexandru Niculescu-Mizil, Geoff Cre...