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ICML
2010
IEEE
14 years 10 months ago
Metric Learning to Rank
We study metric learning as a problem of information retrieval. We present a general metric learning algorithm, based on the structural SVM framework, to learn a metric such that ...
Brian McFee, Gert R. G. Lanckriet
ICML
2008
IEEE
15 years 10 months ago
A decoupled approach to exemplar-based unsupervised learning
A recent trend in exemplar based unsupervised learning is to formulate the learning problem as a convex optimization problem. Convexity is achieved by restricting the set of possi...
Gökhan H. Bakir, Sebastian Nowozin
78
Voted
JMLR
2008
123views more  JMLR 2008»
14 years 9 months ago
Optimization Techniques for Semi-Supervised Support Vector Machines
Due to its wide applicability, the problem of semi-supervised classification is attracting increasing attention in machine learning. Semi-Supervised Support Vector Machines (S3VMs...
Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keer...
MLDM
2007
Springer
15 years 3 months ago
PE-PUC: A Graph Based PU-Learning Approach for Text Classification
This paper presents a novel solution for the problem of building text classifier using positive documents (P) and unlabeled documents (U). Here, the unlabeled documents are mixed w...
Shuang Yu, Chunping Li
ARCS
2004
Springer
15 years 2 months ago
Root Cause Analysis as a Guide to SRE Methods
Abstract: Which Software Reliability Engineering (SRE) methods should be applied during the various phases of the lifecycle of a product? The answer given here centres on learning ...
Timm Grams