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» Self-calibrating Probability Forecasting
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JMLR
2010
103views more  JMLR 2010»
13 years 1 months ago
Regret Bounds and Minimax Policies under Partial Monitoring
This work deals with four classical prediction settings, namely full information, bandit, label efficient and bandit label efficient as well as four different notions of regret: p...
Jean-Yves Audibert, Sébastien Bubeck
DAGSTUHL
2006
13 years 7 months ago
On impossibility of sequential algorithmic forecasting
The problem of prediction future event given an individual sequence of past events is considered. Predictions are given in form of real numbers pn which are computed by some algori...
Vladimir V. V'yugin
KDD
2001
ACM
359views Data Mining» more  KDD 2001»
14 years 6 months ago
Data mining techniques to improve forecast accuracy in airline business
Predictive models developed by applying Data Mining techniques are used to improve forecasting accuracy in the airline business. In order to maximize the revenue on a flight, the ...
Christoph Hueglin, Francesco Vannotti
KAIS
2008
221views more  KAIS 2008»
13 years 6 months ago
Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
Kun Zhang, Wei Fan
ECIS
2004
13 years 7 months ago
Forecasting ERP implementation success - Towards a grounded framework
The continuing soar in popularity when it comes to standardized information systems sold en masse under the labelling of Enterprise Resource Planning (ERP) Systems is somewhat kep...
Johan Magnusson, Andreas Nilsson, Fredrik Carlsson