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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 6 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,...
CVPR
2005
IEEE
16 years 8 months ago
Robust Boosting for Learning from Few Examples
We present and analyze a novel regularization technique based on enhancing our dataset with corrupted copies of our original data. The motivation is that since the learning algori...
Lior Wolf, Ian Martin
ECAI
2000
Springer
15 years 10 months ago
On Efficiency of Learning: A Framework and Justification
Abstract. A conceptual framework, whose goal is the improvement of efficiency of machine learning, is presented. The framework is designed in a broader context of problem solver (P...
Jindrich Bucha