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ML
2008
ACM
101views Machine Learning» more  ML 2008»
13 years 10 months ago
On reoptimizing multi-class classifiers
Significant changes in the instance distribution or associated cost function of a learning problem require one to reoptimize a previously-learned classifier to work under new cond...
Chris Bourke, Kun Deng, Stephen D. Scott, Robert E...
ENVSOFT
2007
93views more  ENVSOFT 2007»
13 years 10 months ago
A distributed model of water balance in the Motueka catchment, New Zealand
A distributed water balance model is used to simulate the soil moisture regime of the Motueka catchment. The model is a major simplification of the Distributed HydrologyeVegetati...
Robbie M. Andrew, John R. Dymond
ENVSOFT
2007
127views more  ENVSOFT 2007»
13 years 10 months ago
River model calibration, from guidelines to operational support tools
Numerical modelling is now used routinely to make predictions about the behaviour of environmental systems. Model calibration remains a critical step in the modelling process and ...
Jean-Philippe Vidal, Sabine Moisan, Jean-Baptiste ...
JUCS
2006
141views more  JUCS 2006»
13 years 10 months ago
Constraint Based Methods for Biological Sequence Analysis
: The need for processing biological information is rapidly growing, owing to the masses of new information in digital form being produced at this time. Old methodologies for proce...
Maryam Bavarian, Verónica Dahl
JUCS
2006
185views more  JUCS 2006»
13 years 10 months ago
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...
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