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» On Learning with Integral Operators
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COLT
2001
Springer
15 years 7 months ago
Robust Learning - Rich and Poor
A class C of recursive functions is called robustly learnable in the sense I (where I is any success criterion of learning) if not only C itself but even all transformed classes Ī...
John Case, Sanjay Jain, Frank Stephan, Rolf Wiehag...
105
Voted
ESANN
2006
15 years 4 months ago
Construction of a memory management system in an on-line learning mechanism
This paper is the first of a two paper series that deals with an important problem in on-line learning mechanisms for autonomous agents that must perform non trivial tasks and oper...
Francisco Bellas, José Antonio Becerra, Ric...
126
Voted
ICPR
2010
IEEE
15 years 15 days ago
Learning Image Anchor Templates for Document Classification and Data Extraction
Image anchor templates are used in document image analysis for document classification, data localization, and other tasks. Current tools allow human operators to mark out small s...
Prateek Sarkar
141
Voted
MDM
2009
Springer
201views Communications» more  MDM 2009»
15 years 9 months ago
OntoMobiLe: A Generic Ontology-Centric Service-Oriented Architecture for Mobile Learning
Creation of pedagogical learning models to handle the specificity of mobile learning and the inherent constraints of mobile devices is a fundamental challenge in mobile learning. ...
Keng Y. Yee, Wee Tiong Ang, Flora S. Tsai, Rajaram...
114
Voted
GECCO
2010
Springer
157views Optimization» more  GECCO 2010»
15 years 6 months ago
Speeding up the evaluation of evolutionary learning systems using GPGPUs
In this paper we introduce a method for computing fitness in evolutionary learning systems based on NVIDIA’s massive parallel technology using the CUDA library. Both the match ...
María A. Franco, Natalio Krasnogor, Jaume B...