159 search results - page 2 / 32 » Regularization in matrix relevance learning |
SIGIR
2012
ACM
12 years 1 months ago
2012
ACM
In crowdsourced relevance judging, each crowd worker typically judges only a small number of examples, yielding a sparse and imbalanced set of judgments in which relatively few wo...
DAGSTUHL
2007
14 years 9 days ago
2007
Abstract. We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization (GRLVQ). By introducing a full matrix of relevance factors in the dis...
CVPR
2008
IEEE
15 years 26 days ago
2008
IEEE
We present a novel approach to learn distance metric for information retrieval. Learning distance metric from a number of queries with side information, i.e., relevance judgements...
PRL
2011
13 years 5 months ago
2011
Machine Learning based on the Regularized Least Square (RLS) model requires one to solve a system of linear equations. Direct-solution methods exhibit predictable complexity and s...
ICML
2007
IEEE
14 years 11 months ago
2007
IEEE
We propose a method for the classification of matrices. We use a linear classifier with a novel regularization scheme based on the spectral 1-norm of its coefficient matrix. The s...