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JAIR
2008
120views more  JAIR 2008»
15 years 7 months ago
Anytime Induction of Low-cost, Low-error Classifiers: a Sampling-based Approach
Machine learning techniques are gaining prevalence in the production of a wide range of classifiers for complex real-world applications with nonuniform testing and misclassificati...
Saher Esmeir, Shaul Markovitch
JUCS
2007
90views more  JUCS 2007»
15 years 7 months ago
Supporting the Authoring and Operationalization of Educational Modelling Languages
: The modelling of educational processes and their operational support is a key aspect in the construction of more effective e-learning applications. Instructional models are usual...
Iván Martínez-Ortiz, Pablo Moreno-Ge...
CORR
2011
Springer
261views Education» more  CORR 2011»
15 years 2 months ago
Convex and Network Flow Optimization for Structured Sparsity
We consider a class of learning problems regularized by a structured sparsity-inducing norm defined as the sum of 2- or ∞-norms over groups of variables. Whereas much effort ha...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
TNN
2010
127views Management» more  TNN 2010»
15 years 1 months ago
RAMOBoost: ranked minority oversampling in boosting
In recent years, learning from imbalanced data has attracted growing attention from both academia and industry due to the explosive growth of applications that use and produce imba...
Sheng Chen, Haibo He, Edwardo A. Garcia
TSMC
2010
15 years 1 months ago
Interactive Teaching for Vision-Based Mobile Robots: A Sensory-Motor Approach
Abstract--For the last decade, we have developed a visionbased architecture for mobile robot navigation. Our bio-inspired model of the navigation has proved to achieve sensory-moto...
Christophe Giovannangeli, Philippe Gaussier