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» A Framework for Multiple-Instance Learning
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ECTEL
2009
Springer
15 years 9 months ago
A New Framework for Dynamic Adaptations and Actions
Adaptive course generation is more flexible if it includes mechanisms deciding just-in-time which exercises, which external resources, and which tools to include for an individual...
Carsten Ullrich, Tianxiang Lu, Erica Melis
ICPR
2010
IEEE
15 years 10 months ago
Adding Classes Online in Error Correcting Output Codes Framework
—This article proposes a general extension of the Error Correcting Output Codes (ECOC) framework to the online learning scenario. As a result, the final classifier handles the ...
Sergio Escalera, David Masip, Eloi Puertas, Petia ...
ICALT
2008
IEEE
15 years 9 months ago
A SOA-Based Framework for Constructing Problem Solving Environments
In this paper we present a framework for constructing problem solving environments for assessing procedural knowledge, i.e. the student’s ability to apply his/her knowledge in o...
Jaime Gálvez, Eduardo Guzmán, Ricard...
ICML
2008
IEEE
16 years 3 months ago
ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
Nicolas Loeff, David A. Forsyth, Deepak Ramachandr...
ICML
2001
IEEE
16 years 3 months ago
A Unified Loss Function in Bayesian Framework for Support Vector Regression
In this paper, we propose a unified non-quadratic loss function for regression known as soft insensitive loss function (SILF). SILF is a flexible model and possesses most of the d...
Wei Chu, S. Sathiya Keerthi, Chong Jin Ong