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RAS
2002
131views more  RAS 2002»
13 years 7 months ago
Behavior generation for a mobile robot based on the adaptive fitness function
We have to prepare the evaluation (fitness) function to evaluate the performance of the robot when we apply the machine learning techniques to the robot application. In many cases,...
Eiji Uchibe, Masakazu Yanase, Minoru Asada
CORR
2011
Springer
163views Education» more  CORR 2011»
12 years 11 months ago
Axiomatic Attribution for Multilinear Functions
We study the attribution problem, that is, the problem of attributing a change in the value of a characteristic function f to its independent variables. We make three contributions...
Yi Sun, Mukund Sundararajan
NCA
2007
IEEE
13 years 7 months ago
A computational strategy exploiting genetic algorithms to recover color surface reflectance functions
—Information about the spectral reflectance of a color surface is useful in many applications. Assuming that reflectance functions can be adequately approximated by a linear comb...
Raimondo Schettini, Silvia Zuffi
RC
2007
83views more  RC 2007»
13 years 7 months ago
Computing the Pessimism of Inclusion Functions
Abstract. “Computing the pessimism” means bounding the overestimation produced by an inclusion function. There are two important distinctions with classical error analysis. Fir...
Gilles Chabert, Luc Jaulin
INCDM
2010
Springer
138views Data Mining» more  INCDM 2010»
13 years 6 months ago
Learning Discriminative Distance Functions for Case Retrieval and Decision Support
The importance of learning distance functions is gradually being acknowledged by the machine learning community, and different techniques are suggested that can successfully learn ...
Alexey Tsymbal, Martin Huber, Shaohua Kevin Zhou