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JCP
2008
166views more  JCP 2008»
15 years 1 months ago
Water Demand Prediction using Artificial Neural Networks and Support Vector Regression
Computational Intelligence techniques have been proposed as an efficient tool for modeling and forecasting in recent years and in various applications. Water is a basic need and as...
Ishmael S. Msiza, Fulufhelo Vincent Nelwamondo, Ts...
EUROPAR
2006
Springer
15 years 4 months ago
Comparison of Different Methods for Next Location Prediction
Next location prediction anticipates a person's movement based on the history of previous sojourns. It is useful for proactive actions taken to assist the person in an ubiquit...
Jan Petzold, Faruk Bagci, Wolfgang Trumler, Theo U...
SDM
2009
SIAM
162views Data Mining» more  SDM 2009»
15 years 10 months ago
Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction.
We propose Link Propagation as a new semi-supervised learning method for link prediction problems, where the task is to predict unknown parts of the network structure by using aux...
Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanish...
ITCC
2005
IEEE
15 years 6 months ago
Real Stock Trading Using Soft Computing Models
The main focus of this study is to compare different performances of soft computing paradigms for predicting the direction of individuals stocks. Three different artificial intell...
Brent Doeksen, Ajith Abraham, Johnson P. Thomas, M...
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IPTPS
2005
Springer
15 years 6 months ago
Locality Prediction for Oblivious Clients
To improve performance, large-scale Internet systems require clients to access nearby servers. While centralized systems can leverage static topology maps for rough network distan...
Kevin P. Shanahan, Michael J. Freedman