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AUSAI
2004
Springer
13 years 10 months ago
Using Machine Learning Techniques to Combine Forecasting Methods
We present here an original work that uses machine learning techniques to combine time series forecasts. In this proposal, a machine learning technique uses features of the series ...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
BMCBI
2006
169views more  BMCBI 2006»
13 years 5 months ago
Machine learning techniques in disease forecasting: a case study on rice blast prediction
Background: Diverse modeling approaches viz. neural networks and multiple regression have been followed to date for disease prediction in plant populations. However, due to their ...
Rakesh Kaundal, Amar S. Kapoor, Gajendra P. S. Rag...
IJCNN
2007
IEEE
13 years 11 months ago
Local Learning of Tide Level Time Series using a Fuzzy Approach
— Forecasting the tide level in the Venezia lagoon is a very compelling task. In this work we propose a new approach to the learning of tide level time series based on the local ...
E. Canestrelli, P. Canestrelli, Marco Corazza, Mau...
AI
2009
Springer
13 years 8 months ago
Financial Forecasting Using Character N-Gram Analysis and Readability Scores of Annual Reports
Abstract. Two novel Natural Language Processing (NLP) classification techniques are applied to the analysis of corporate annual reports in the task of financial forecasting. The ...
Matthew Butler, Vlado Keselj
TON
2010
167views more  TON 2010»
12 years 11 months ago
A Machine Learning Approach to TCP Throughput Prediction
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin...