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IJCAI
2007
13 years 9 months ago
A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning
In recent years, metric learning in the semisupervised setting has aroused a lot of research interests. One type of semi-supervised metric learning utilizes supervisory informatio...
Dit-Yan Yeung, Hong Chang, Guang Dai
ICML
2009
IEEE
14 years 8 months ago
Block-wise construction of acyclic relational features with monotone irreducibility and relevancy properties
We describe an algorithm for constructing a set of acyclic conjunctive relational features by combining smaller conjunctive blocks. Unlike traditional level-wise approaches which ...
Filip Zelezný, Ondrej Kuzelka
ICMLA
2009
13 years 5 months ago
Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk
Patients undergoing thoracic radiation therapy can develop radiation pneumonitis (RP), a potentially fatal inflammation of the lungs. Support vector machines (SVMs), a statistical...
Todd W. Schiller, Yixin Chen, Issam El-Naqa, Josep...
SIGIR
2012
ACM
11 years 10 months ago
Explicit relevance models in intent-oriented information retrieval diversification
The intent-oriented search diversification methods developed in the field so far tend to build on generative views of the retrieval system to be diversified. Core algorithm compon...
Saul Vargas, Pablo Castells, David Vallet
ICPR
2010
IEEE
14 years 2 months ago
Semi-Supervised Distance Metric Learning by Quadratic Programming
This paper introduces a semi-supervised distance metric learning algorithm which uses pair-wise equivalence (similarity and dissimilarity) constraints to improve the original dist...
Hakan Cevikalp