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ALT
2007
Springer
14 years 4 months ago
Learning Kernel Perceptrons on Noisy Data Using Random Projections
In this paper, we address the issue of learning nonlinearly separable concepts with a kernel classifier in the situation where the data at hand are altered by a uniform classific...
Guillaume Stempfel, Liva Ralaivola
PAMI
2007
148views more  PAMI 2007»
13 years 7 months ago
Orthogonal Neighborhood Preserving Projections: A Projection-Based Dimensionality Reduction Technique
This paper considers the problem of dimensionality reduction by orthogonal projection techniques. The main feature of the proposed techniques is that they attempt to preserve both...
Effrosini Kokiopoulou, Yousef Saad
ECTEL
2007
Springer
14 years 1 months ago
Model-Driven Design of VoIP Services for E-Learning
Project-centered learning increasingly demands for communication tools to enhance learners’ virtual interaction. In the context of the COOPER EU project a
Nicola Aste, Aldo Bongio, Stefano Ceri, Marco Fais...
AAAI
2008
13 years 10 months ago
Transfer Learning via Dimensionality Reduction
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
Sinno Jialin Pan, James T. Kwok, Qiang Yang
ICML
2004
IEEE
14 years 8 months ago
Learning to cluster using local neighborhood structure
Brendan J. Frey, Kannan Achan, Rómer Rosale...