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CORR
1999
Springer
67views Education» more  CORR 1999»
13 years 9 months ago
Robust Combining of Disparate Classifiers through Order Statistics
: Integrating the outputs of multiple classifiers via combiners or meta-learners has led to substantial improvements in several difficult pattern recognition problems. In this arti...
Kagan Tumer, Joydeep Ghosh
JVCA
2002
180views more  JVCA 2002»
13 years 9 months ago
A programming environment for behavioural animation
Behavioural models offer the ability to simulate autonomous agents like organisms and living beings. Psychological studies have showed that the human behaviour can be described by...
Frédéric Devillers, Stéphane ...
ML
2002
ACM
163views Machine Learning» more  ML 2002»
13 years 9 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola
MP
2002
84views more  MP 2002»
13 years 9 months ago
The volume algorithm revisited: relation with bundle methods
We revise the Volume Algorithm (VA) for linear programming and relate it to bundle methods. When first introduced, VA was presented as a subgradient-like method for solving the ori...
Laura Bahiense, Nelson Maculan, Claudia A. Sagasti...
MP
2002
110views more  MP 2002»
13 years 9 months ago
Robust optimization - methodology and applications
Abstract. Robust Optimization (RO) is a modeling methodology, combined with computational tools, to process optimization problems in which the data are uncertain and is only known ...
Aharon Ben-Tal, Arkadi Nemirovski