Andreas S. Weigend

Publication Activity (10 Years)

Years Active: 1990-2005
Publications (10 Years): 0

Publications

Nicolas Christin, Andreas S. Weigend, John Chuang
Content availability, pollution and poisoning in file sharing peer-to-peer networks. EC (2005)
Hui Wang, Andreas S. Weigend
Data mining for financial decision making. Decis. Support Syst. 37 (4) (2004)
Susan T. Dumais, Thorsten Joachims, Krishna Bharat, Andreas S. Weigend
SIGIR 2003 workshop report: implicit measures of user interests and preferences. SIGIR Forum 37 (2) (2003)
Andreas S. Weigend
Analyzing customer behavior at Amazon.com. KDD (2003)
Hui Wang, Andreas S. Weigend
Data Mining for Financial Decision Making. Decis. Support Syst. 32 (4) (2002)
Elion Chin, Andreas S. Weigend, Heinz Zimmermann
Computing portfolio risk using Gaussian mixtures and independent component analysis. CIFEr (1999)
Ashok N. Srivastava, Renjeng Su, Andreas S. Weigend
Data Mining for Features Using Scale-Sensitive Gated Experts. IEEE Trans. Pattern Anal. Mach. Intell. 21 (12) (1999)
Andreas S. Weigend, Erik D. Wiener, Jan O. Pedersen
Exploiting Hierarchy in Text Categorization. Inf. Retr. 1 (3) (1999)
Isaac J. Chang, Andreas S. Weigend
Nonlinear prediction of conditional percentiles for value-at-risk. CIFEr (1999)
Christian D. Pirkner, Andreas S. Weigend, Heinz Zimmermann
Extracting risk-neutral densities from option prices using mixture binomial trees. CIFEr (1999)
Blake LeBaron, Andreas S. Weigend
A bootstrap evaluation of the effect of data splitting on financial time series. IEEE Trans. Neural Networks 9 (1) (1998)
Andrew D. Back, Andreas S. Weigend
What drives stock returns?-an independent component analysis. CIFEr (1998)
Andreas S. Weigend, Fei Chen, Stephen Figlewski, Steven R. Waterhouse
Discovering Technical Traders in the T-bond Futures Market. KDD (1998)
Andrew D. Back, Andreas S. Weigend
A First Application of Independent Component Analysis to Extracting Structure from Stock Returns. Int. J. Neural Syst. 8 (4) (1997)
Shanming Shi, Andreas S. Weigend
Taking time seriously: hidden Markov experts applied to financial engineering. CIFEr (1997)
Thomas McCabe, Andreas S. Weigend
Measuring predictability using multiresolution embedding. CIFEr (1997)
Jens Timmer, Andreas S. Weigend
Modeling Volatility Using State Space Models. Int. J. Neural Syst. 8 (4) (1997)
Mark Choey, Andreas S. Weigend
Nonlinear Trading Models Through Sharpe Ratio Maximization. Int. J. Neural Syst. 8 (4) (1997)
Shanming Shi, Andreas S. Weigend
Markov gated experts for time series analysis: beyond regression. ICNN (1997)
Andreas S. Weigend
Time Series Analysis and Prediction Using Gated Experts with Application to Energy Demand Forecasts. Appl. Artif. Intell. 10 (6) (1996)
Andreas S. Weigend, Ashok N. Srivastava
Predicting conditional probability distributions: a connectionist approach. Int. J. Neural Syst. 6 (2) (1995)
Andreas S. Weigend, Morgan Mangeas, Ashok N. Srivastava
Nonlinear gated experts for time series: discovering regimes and avoiding overfitting. Int. J. Neural Syst. 6 (4) (1995)
David A. Nix, Andreas S. Weigend
Learning Local Error Bars for Nonlinear Regression. NIPS (1994)
Wray L. Buntine, Andreas S. Weigend
Computing second derivatives in feed-forward networks: a review. IEEE Trans. Neural Networks 5 (3) (1994)
Peter T. Kazlas, Andreas S. Weigend
Direct Multi-Step Time Series Prediction Using TD-lambda. NIPS (1994)
Andreas S. Weigend, Neil A. Gershenfeld
Results of the time series prediction competition at the Santa Fe Institute. ICNN (1993)
Andreas S. Weigend
John A. Hertz, Anders S. Krogh, Richard G. Palmer, Introduction to the Theory of Neural Computation. Artif. Intell. 62 (1) (1993)
Andreas S. Weigend
Connectionism for Music and Audition. NIPS (1993)
Wray L. Buntine, Andreas S. Weigend
Bayesian Back-Propagation. Complex Syst. 5 (6) (1991)
Andreas S. Weigend, David E. Rumelhart, Bernardo A. Huberman
Generalization by Weight-Elimination with Application to Forecasting. NIPS (1990)
Andreas S. Weigend, Bernardo A. Huberman, David E. Rumelhart
Predicting the Future: a Connectionist Approach. Int. J. Neural Syst. 1 (3) (1990)