Andreas S. Weigend

32 papers A* 3Journal 16Unranked 12

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