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MANSCI
2007
85views more  MANSCI 2007»
13 years 7 months ago
Probability Elicitation, Scoring Rules, and Competition Among Forecasters
Probability forecasters who are rewarded via a proper scoring rule may care not only about the score, but also about their performance relative to other forecasters. We model this...
Kenneth C. Lichtendahl Jr., Robert L. Winkler
CORR
2011
Springer
213views Education» more  CORR 2011»
13 years 2 months ago
Adapting to Non-stationarity with Growing Expert Ensembles
Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...
Cosma Rohilla Shalizi, Abigail Z. Jacobs, Aaron Cl...
ESWA
2010
118views more  ESWA 2010»
13 years 6 months ago
Integrating independent component analysis-based denoising scheme with neural network for stock price prediction
The forecasting of stock price is one of the most challenging tasks in investment/financial decision-making since stock prices/indices are inherently noisy and non-stationary. In ...
Chi-Jie Lu
ICASSP
2009
IEEE
14 years 2 months ago
Experimenting with a global decision tree for state clustering in automatic speech recognition systems
In modern automatic speech recognition systems, it is standard practice to cluster several logical hidden Markov model states into one physical, clustered state. Typically, the cl...
Jasha Droppo, Alex Acero
PROCEDIA
2010
87views more  PROCEDIA 2010»
13 years 6 months ago
Forecast sensitivity to the observation error covariance in variational data assimilation
The development of the adjoint of the forecast model and of the adjoint of the data assimilation system (adjoint-DAS) make feasible the evaluation of the derivative-based forecast...
Dacian N. Daescu