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JMLR
2012
13 years 4 months ago
Distance Metric Learning with Eigenvalue Optimization
The main theme of this paper is to develop a novel eigenvalue optimization framework for learning a Mahalanobis metric. Within this context, we introduce a novel metric learning a...
Yiming Ying, Peng Li
ICDE
2012
IEEE
196views Database» more  ICDE 2012»
13 years 4 months ago
Scalable Multi-query Optimization for SPARQL
Abstract—This paper revisits the classical problem of multiquery optimization in the context of RDF/SPARQL. We show that the techniques developed for relational and semi-structur...
Wangchao Le, Anastasios Kementsietsidis, Songyun D...
ICASSP
2011
IEEE
14 years 5 months ago
Generalized low-rank decompositions with switching and adaptive algorithms for space-time adaptive processing
This work presents generalized low-rank signal decompositions with the aid of switching techniques and adaptive algorithms, which do not require eigen-decompositions, for space-ti...
Rodrigo C. de Lamare
JMLR
2012
13 years 4 months ago
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
We propose a new method for comparing learning algorithms on multiple tasks which is based on a novel non-parametric test that we call the Poisson binomial test. The key aspect of...
Alexandre Lacoste, François Laviolette, Mar...
ICTAI
1994
IEEE
15 years 5 months ago
Iterative Strengthening: An Algorithm for Generating Anytime Optimal Plans
In order to perform adequately in real-world situations, a planning system must be able to nd the \best" solution while still supporting anytime behavior. We have developed ...
Randall J. Calistri-Yeh