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» A Framework for Multiple-Instance Learning
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EUROGP
2010
Springer
166views Optimization» more  EUROGP 2010»
15 years 7 months ago
Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
Katya Vladislavleva, Kalyan Veeramachaneni, Una-Ma...
116
Voted
IUI
1999
ACM
15 years 6 months ago
Multi-Agent Learning Approach to WWW Information Retrieval Using Neural Network
er has outlined the potential of multiagent framework for decision support. From an abstract point of view, the concept of an agent has been used as modularization principle for th...
Yong S. Choi, Suk I. Yoo
98
Voted
NIPS
2007
15 years 4 months ago
Learning with Tree-Averaged Densities and Distributions
We utilize the ensemble of trees framework, a tractable mixture over superexponential number of tree-structured distributions [1], to develop a new model for multivariate density ...
Sergey Kirshner
ICVGIP
2004
15 years 4 months ago
On Learning Shapes from Shades
Shape from Shading (SFS) is one of the most extensively studied problems in Computer Vision. However, most of the approaches only deal with Lambertian or other specific shading mo...
Subhajit Sanyal, Mayank Bansal, Subhashis Banerjee...
159
Voted
LEGE
2003
174views Education» more  LEGE 2003»
15 years 3 months ago
An e-Learning platform for SME Manager Upgrade and its Evolution Toward a Distributed Training Environment
The purpose of this paper is to describe the work in progress related to the customisation, the trial and the evaluation of an innovative e-learning platform for manager upgrade i...
Nicola Capuano, Matteo Gaeta, Laura Pappacena