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ICML
2000
IEEE
16 years 5 months ago
Bounds on the Generalization Performance of Kernel Machine Ensembles
We study the problem of learning using combinations of machines. In particular we present new theoretical bounds on the generalization performance of voting ensembles of kernel ma...
Luis Pérez-Breva, Massimiliano Pontil, Theo...
AAAI
2008
15 years 6 months ago
A Case Study on the Critical Role of Geometric Regularity in Machine Learning
An important feature of many problem domains in machine learning is their geometry. For example, adjacency relationships, symmetries, and Cartesian coordinates are essential to an...
Jason Gauci, Kenneth O. Stanley
ESANN
2008
15 years 6 months ago
A Methodology for Building Regression Models using Extreme Learning Machine: OP-ELM
This paper proposes a methodology named OP-ELM, based on a recent development
Yoan Miche, Patrick Bas, Christian Jutten, Olli Si...
ICALT
2007
IEEE
15 years 10 months ago
A Pedagogy-driven Personalization Framework to Support Adaptive Learning Experiences
The creation of personalized learning experiences is considered as a necessity to cope with the overwhelming amount of available learning material. This paper presents a personali...
Polyxeni Arapi, Nektarios Moumoutzis, Manolis Mylo...
ACL
2008
15 years 6 months ago
Active Learning with Confidence
Active learning is a machine learning approach to achieving high-accuracy with a small amount of labels by letting the learning algorithm choose instances to be labeled. Most of p...
Mark Dredze, Koby Crammer