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ESANN
2004
13 years 11 months ago
Soft-computing techniques for time series forecasting
One way to contrast the behaviour of different algorithms in the field of timeseries forecasting is to compare the prediction error using a benchmark problem. Another interesting ...
Ignacio Rojas Ruiz, Héctor Pomares
CDC
2010
IEEE
154views Control Systems» more  CDC 2010»
13 years 5 months ago
A lower bound for controlled Lagrangian particle tracking error
Abstract-- Autonomous underwater vehicles are flexible mobile platforms for ocean sampling and surveillance missions. However, navigation of these vehicles in unstructured, highly ...
Klementyna Szwaykowska, Fumin Zhang
BMCBI
2006
169views more  BMCBI 2006»
13 years 10 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...
PERCOM
2009
ACM
14 years 4 months ago
Adaptive Linear Filtering Compression on Realtime Sensor Networks
Abstract—We present a lightweight lossless compression algorithm for realtime sensor networks. Our proposed Adaptive Linear Filtering Compression (ALFC) algorithm performs predic...
Aaron B. Kiely, Mingsen Xu, Wen-Zhan Song, Renjie ...
IDA
2010
Springer
13 years 11 months ago
Oracle Coached Decision Trees and Lists
This paper introduces a novel method for obtaining increased predictive performance from transparent models in situations where production input vectors are available when building...
Ulf Johansson, Cecilia Sönströd, Tuve L&...