Andreas S. Weigend

According to our database1, Andreas S. Weigend authored at least 31 papers between 1990 and 2005.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2005
Content availability, pollution and poisoning in file sharing peer-to-peer networks.
Proceedings of the Proceedings 6th ACM Conference on Electronic Commerce (EC-2005), 2005

2003
SIGIR 2003 workshop report: implicit measures of user interests and preferences.
SIGIR Forum, 2003

Analyzing customer behavior at Amazon.com.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

2002
Data Mining for Financial Decision Making.
Decis. Support Syst., 2002

1999
Data Mining for Features Using Scale-Sensitive Gated Experts.
IEEE Trans. Pattern Anal. Mach. Intell., 1999

Exploiting Hierarchy in Text Categorization.
Inf. Retr., 1999

Extracting risk-neutral densities from option prices using mixture binomial trees.
Proceedings of the IEEE/IAFE 1999 Conference on Computational Intelligence for Financial Engineering, 1999

Computing portfolio risk using Gaussian mixtures and independent component analysis.
Proceedings of the IEEE/IAFE 1999 Conference on Computational Intelligence for Financial Engineering, 1999

Nonlinear prediction of conditional percentiles for value-at-risk.
Proceedings of the IEEE/IAFE 1999 Conference on Computational Intelligence for Financial Engineering, 1999

1998
A bootstrap evaluation of the effect of data splitting on financial time series.
IEEE Trans. Neural Networks, 1998

Discovering Technical Traders in the T-bond Futures Market.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998

What drives stock returns?-an independent component analysis.
Proceedings of the IEEE/IAFE/INFORMS 1998 Conference on Computational Intelligence for Financial Engineering, 1998

1997
Modeling Volatility Using State Space Models.
Int. J. Neural Syst., 1997

Nonlinear Trading Models Through Sharpe Ratio Maximization.
Int. J. Neural Syst., 1997

A First Application of Independent Component Analysis to Extracting Structure from Stock Returns.
Int. J. Neural Syst., 1997

Markov gated experts for time series analysis: beyond regression.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Taking time seriously: hidden Markov experts applied to financial engineering.
Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering, 1997

Measuring predictability using multiresolution embedding.
Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering, 1997

1996
Time Series Analysis and Prediction Using Gated Experts with Application to Energy Demand Forecasts.
Appl. Artif. Intell., 1996

1995
Predicting conditional probability distributions: a connectionist approach.
Int. J. Neural Syst., 1995

Nonlinear gated experts for time series: discovering regimes and avoiding overfitting.
Int. J. Neural Syst., 1995

1994
Computing second derivatives in feed-forward networks: a review.
IEEE Trans. Neural Networks, 1994

Learning Local Error Bars for Nonlinear Regression.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Direct Multi-Step Time Series Prediction Using TD-lambda.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Time Series Prediction: Forecasting the Future and Understanding the Past.
Addison-Wesley, ISBN: 0-201-62601-2, 1994

1993
John A. Hertz, Anders S. Krogh, Richard G. Palmer, Introduction to the Theory of Neural Computation.
Artif. Intell., 1993

Connectionism for Music and Audition.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Results of the time series prediction competition at the Santa Fe Institute.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1991
Bayesian Back-Propagation.
Complex Syst., 1991

1990
Predicting the Future: a Connectionist Approach.
Int. J. Neural Syst., 1990

Generalization by Weight-Elimination with Application to Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990


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