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» On learning with dissimilarity functions
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CEC
2007
IEEE
15 years 10 months ago
Support vector machines for computing action mappings in learning classifier systems
XCS with Computed Action, briefly XCSCA, is a recent extension of XCS to tackle problems involving a large number of discrete actions. In XCSCA the classifier action is computed wi...
Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi
NIPS
2007
15 years 7 months ago
Convex Learning with Invariances
Incorporating invariances into a learning algorithm is a common problem in machine learning. We provide a convex formulation which can deal with arbitrary loss functions and arbit...
Choon Hui Teo, Amir Globerson, Sam T. Roweis, Alex...
CORR
2010
Springer
88views Education» more  CORR 2010»
15 years 6 months ago
A fuzzified BRAIN algorithm for learning DNF from incomplete data
Aim of this paper is to address the problem of learning Boolean functions from training data with missing values. We present an extension of the BRAIN algorithm, called U-BRAIN (U...
Salvatore Rampone, Ciro Russo
RAS
2006
111views more  RAS 2006»
15 years 6 months ago
Robot learning through task identification
The operation of an autonomous mobile robot in a semi-structured environment is a complex, usually non-linear and partly unpredictable process. Lacking a theory of robot
Ulrich Nehmzow, Roberto Iglesias, Theocharis Kyria...
BC
2000
84views more  BC 2000»
15 years 5 months ago
Learning cortical topography from spatiotemporal stimuli
Abstract. Stimulus representation is a functional interpretation of early sensory cortices. Early sensory cortices are subject to stimulus-induced modi
Jan C. Wiemer, Friederike Spengler, Frank Joublin,...