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ECIS
2000
13 years 10 months ago
Different Pre-Processing Models for Financial Accounts when using Neural Networks for Auditing
The aim of this study is to investigate the impact of various pre-processing models on the forecast capability of artificial neural network (ANN) when auditing financial accounts. ...
Eija Koskivaara
ICML
2010
IEEE
13 years 9 months ago
Projection Penalties: Dimension Reduction without Loss
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
Yi Zhang 0010, Jeff Schneider
NECO
2011
13 years 3 months ago
Least Squares Estimation Without Priors or Supervision
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Martin Raphan, Eero P. Simoncelli
SIAMJO
2008
104views more  SIAMJO 2008»
13 years 8 months ago
A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance
This paper concerns a fractional function of the form xT a/ xT Bx, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, an...
Seung-Jean Kim, Stephen P. Boyd
MLDM
2009
Springer
14 years 3 months ago
Memory-Based Modeling of Seasonality for Prediction of Climatic Time Series
The paper describes a method for predicting climate time series that consist of significant annual and diurnal seasonal components and a short-term stockastic component. A memory...
Daniel Nikovski, Ganesan Ramachandran