Andreas S. Weigend

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23EENicolas Christin, Andreas S. Weigend, John Chuang: Content availability, pollution and poisoning in file sharing peer-to-peer networks. ACM Conference on Electronic Commerce 2005: 68-77
22EEHui Wang, Andreas S. Weigend: Data mining for financial decision making. Decision Support Systems 37(4): 457-460 (2004)
21EEAndreas S. Weigend: Analyzing customer behavior at Amazon.com. KDD 2003: 5
20EESusan T. Dumais, Thorsten Joachims, Krishna Bharat, Andreas S. Weigend: SIGIR 2003 workshop report: implicit measures of user interests and preferences. SIGIR Forum 37(2): 50-54 (2003)
19 Hui Wang, Andreas S. Weigend: Data Mining for Financial Decision Making. Decision Support Systems 32(4): 417-418 (2002)
18EEYaser S. Abu-Mostafa, Blake LeBaron, Andrew W. Lo, Andreas S. Weigend: Computational Finance 1999. J. Artificial Societies and Social Simulation 4(4): (2001)
17EEAshok N. Srivastava, Renjeng Su, Andreas S. Weigend: Data Mining for Features Using Scale-Sensitive Gated Experts. IEEE Trans. Pattern Anal. Mach. Intell. 21(12): 1268-1279 (1999)
16 Andreas S. Weigend, Erik D. Wiener, Jan O. Pedersen: Exploiting Hierarchy in Text Categorization. Inf. Retr. 1(3): 193-216 (1999)
15 Andreas S. Weigend, Fei Chen, Stephen Figlewski, Steven R. Waterhouse: Discovering Technical Traders in the T-bond Futures Market. KDD 1998: 354-358
14EEBlake LeBaron, Andreas S. Weigend: A bootstrap evaluation of the effect of data splitting on financial time series. IEEE Transactions on Neural Networks 9(1): 213-220 (1998)
13EEJens Timmer, Andreas S. Weigend: Modeling Volatility Using State Space Models. Int. J. Neural Syst. 8(4): 385-398 (1997)
12EEMark Choey, Andreas S. Weigend: Nonlinear Trading Models Through Sharpe Ratio Maximization. Int. J. Neural Syst. 8(4): 417-431 (1997)
11EEAndrew D. Back, Andreas S. Weigend: A First Application of Independent Component Analysis to Extracting Structure from Stock Returns. Int. J. Neural Syst. 8(4): 473-484 (1997)
10EEAndreas S. Weigend: Time Series Analysis and Prediction Using Gated Experts with Application to Energy Demand Forecasts. Applied Artificial Intelligence 10(6): 583-624 (1996)
9EEAndreas S. Weigend, Ashok N. Srivastava: Predicting conditional probability distributions: a connectionist approach. Int. J. Neural Syst. 6(2): 109-118 (1995)
8EEAndreas S. Weigend, Morgan Mangeas, Ashok N. Srivastava: Nonlinear gated experts for time series: discovering regimes and avoiding overfitting. Int. J. Neural Syst. 6(4): 373-399 (1995)
7 Andreas S. Weigend, Neil A. Gerschenfeld: Time Series Prediction: Forecasting the Future and Understanding the Past. Addison-Wesley 1994
6EEDavid A. Nix, Andreas S. Weigend: Learning Local Error Bars for Nonlinear Regression. NIPS 1994: 489-496
5EEPeter T. Kazlas, Andreas S. Weigend: Direct Multi-Step Time Series Prediction Using TD-lambda. NIPS 1994: 721-728
4EEAndreas S. Weigend: Connectionism for Music and Audition. NIPS 1993: 1163-1164
3 Andreas S. Weigend: John A. Hertz, Anders S. Krogh, Richard G. Palmer, Introduction to the Theory of Neural Computation. Artif. Intell. 62(1): 93-111 (1993)
2EEAndreas S. Weigend, David E. Rumelhart, Bernardo A. Huberman: Generalization by Weight-Elimination with Application to Forecasting. NIPS 1990: 875-882
1EEAndreas S. Weigend, Bernardo A. Huberman, David E. Rumelhart: Predicting the Future: a Connectionist Approach. Int. J. Neural Syst. 1(3): 193-209 (1990)

Coauthor Index

1Yaser S. Abu-Mostafa [18]
2Andrew D. Back [11]
3Krishna Bharat [20]
4Fei Chen [15]
5Mark Choey [12]
6Nicolas Christin [23]
7John C.-I. Chuang (John Chuang) [23]
8Susan T. Dumais [20]
9Stephen Figlewski [15]
10Neil A. Gerschenfeld [7]
11Bernardo A. Huberman [1] [2]
12Thorsten Joachims [20]
13Peter T. Kazlas [5]
14Blake LeBaron [14] [18]
15Andrew W. Lo [18]
16Morgan Mangeas [8]
17David A. Nix [6]
18Jan O. Pedersen [16]
19David E. Rumelhart [1] [2]
20Ashok N. Srivastava [8] [9] [17]
21Renjeng Su [17]
22Jens Timmer [13]
23Hui Wang [19] [22]
24Steven R. Waterhouse [15]
25Erik D. Wiener [16]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)