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ICML
2005
IEEE
14 years 8 months ago
Predicting probability distributions for surf height using an ensemble of mixture density networks
There is a range of potential applications of Machine Learning where it would be more useful to predict the probability distribution for a variable rather than simply the most lik...
Michael Carney, Padraig Cunningham, Jim Dowling, C...
EMNLP
2011
12 years 7 months ago
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...
Richard Socher, Jeffrey Pennington, Eric H. Huang,...
ICDCS
2008
IEEE
14 years 2 months ago
Toward Predictive Failure Management for Distributed Stream Processing Systems
Distributed stream processing systems (DSPSs) have many important applications such as sensor data analysis, network security, and business intelligence. Failure management is ess...
Xiaohui Gu, Spiros Papadimitriou, Philip S. Yu, Sh...
ESWA
2010
163views more  ESWA 2010»
13 years 6 months ago
REIT volatility prediction for skew-GED distribution of the GARCH model
This study investigates how specification of return distribution for REIT influences the performance of volatility forecasting using three GARCH models (GARCH-N, GARCH-ST and GARC...
Yen-Hsien Lee, Tung-Yueh Pai
EUROPAR
2001
Springer
14 years 7 days ago
Cactus Application: Performance Predictions in Grid Environments
Matei Ripeanu, Adriana Iamnitchi, Ian T. Foster