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» Learning with Idealized Kernels
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SIGIR
2008
ACM
15 years 4 months ago
Learning to rank with partially-labeled data
Ranking algorithms, whose goal is to appropriately order a set of objects/documents, are an important component of information retrieval systems. Previous work on ranking algorith...
Kevin Duh, Katrin Kirchhoff
HICSS
2009
IEEE
103views Biometrics» more  HICSS 2009»
15 years 8 months ago
Automated Acceptance Testing Using Fit
Automated acceptance testing is a new and promising agile testing approach. Fit is the most established technical framework for specifying and executing acceptance tests which, id...
Geir Kjetil Hanssen, Børge Haugset
ICIP
2007
IEEE
15 years 10 months ago
A VQ-Based Demosaicing by Self-Similarity
In this paper, we propose a learning-based demosaicing and a restoration error detection. A Vector Quantization (VQ)based method is utilized for learning. We take advantage of a s...
Yoshikuni Nomura, Shree K. Nayar
IDEAL
2007
Springer
15 years 10 months ago
Out of Bootstrap Estimation of Generalization Error Curves in Bagging Ensembles
The dependence of the classification error on the size of a bagging ensemble can be modeled within the framework of Monte Carlo theory for ensemble learning. These error curves ar...
Daniel Hernández-Lobato, Gonzalo Mart&iacut...
IDEAL
2005
Springer
15 years 9 months ago
Neural Networks: A Replacement for Gaussian Processes?
Abstract. Gaussian processes have been favourably compared to backpropagation neural networks as a tool for regression. We show that a recurrent neural network can implement exact ...
Matthew Lilley, Marcus R. Frean