Sciweavers

904 search results - page 4 / 181
» Machine learning for stock selection
Sort
View
124
Voted
ICML
2007
IEEE
16 years 3 months ago
Nonlinear independent component analysis with minimal nonlinear distortion
Nonlinear ICA may not result in nonlinear blind source separation, since solutions to nonlinear ICA are highly non-unique. In practice, the nonlinearity in the data generation pro...
Kun Zhang, Laiwan Chan
95
Voted
ICML
2000
IEEE
16 years 3 months ago
Algorithm Selection using Reinforcement Learning
Michail G. Lagoudakis, Michael L. Littman
CEC
2009
IEEE
15 years 9 months ago
Evolving hypernetwork models of binary time series for forecasting price movements on stock markets
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian,...
110
Voted
ML
2002
ACM
180views Machine Learning» more  ML 2002»
15 years 2 months ago
Gene Selection for Cancer Classification using Support Vector Machines
Isabelle Guyon, Jason Weston, Stephen Barnhill, Vl...
124
Voted
ECML
2004
Springer
15 years 8 months ago
Dynamic Asset Allocation Exploiting Predictors in Reinforcement Learning Framework
Given the pattern-based multi-predictors of the stock price, we study a method of dynamic asset allocation to maximize the trading performance. To optimize the proportion of asset ...
Jangmin O, Jae Won Lee, Jongwoo Lee, Byoung-Tak Zh...