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ICANN
2009
Springer
15 years 4 months ago
MINLIP: Efficient Learning of Transformation Models
Abstract. This paper studies a risk minimization approach to estimate a transformation model from noisy observations. It is argued that transformation models are a natural candidat...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
ICASSP
2011
IEEE
14 years 10 months ago
Multi-rank processing for passive ranging in underwater acoustic environments subject to spatial coherence loss
In this work we derive the maximum likelihood estimator for passive wavefront curvature ranging systems operating in environments subject to a spatial coherence loss. As a consequ...
Hongya Ge, Ivars P. Kirsteins
ECIR
2011
Springer
14 years 10 months ago
A Novel Re-ranking Approach Inspired by Quantum Measurement
Abstract. Quantum theory (QT) has recently been employed to advance the theory of information retrieval (IR). A typical method, namely the Quantum Probability Ranking Principle (QP...
Xiaozhao Zhao, Peng Zhang, Dawei Song, Yuexian Hou
JMLR
2012
13 years 9 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...
KDD
2008
ACM
234views Data Mining» more  KDD 2008»
16 years 7 months ago
Angle-based outlier detection in high-dimensional data
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
Hans-Peter Kriegel, Matthias Schubert, Arthur Zime...