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» Machine learning for stock selection
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IUI
2003
ACM
14 years 22 days ago
An adaptive stock tracker for personalized trading advice
The Stock Tracker is an adaptive recommendation system for trading stocks that automatically acquires content-based models of user preferences to tailor its buy and sell advice. T...
Jungsoon P. Yoo, Melinda T. Gervasio, Pat Langley
ACL
2012
11 years 10 months ago
Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evid...
Patrick Simianer, Stefan Riezler, Chris Dyer
ICML
2008
IEEE
14 years 8 months ago
Bayesian multiple instance learning: automatic feature selection and inductive transfer
Vikas C. Raykar, Balaji Krishnapuram, Jinbo Bi, Mu...
ICML
2002
IEEE
14 years 8 months ago
Discriminative Feature Selection via Multiclass Variable Memory Markov Model
Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tis...
IJCNN
2000
IEEE
13 years 12 months ago
Support Vector Machine for Regression and Applications to Financial Forecasting
The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...
Theodore B. Trafalis, Huseyin Ince