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118
Voted
NIPS
2007
15 years 5 months ago
The Generalized FITC Approximation
We present an efficient generalization of the sparse pseudo-input Gaussian process (SPGP) model developed by Snelson and Ghahramani [1], applying it to binary classification pro...
Andrew Naish-Guzman, Sean B. Holden
116
Voted
AIPS
2006
15 years 5 months ago
Learning to Do HTN Planning
We describe HDL, an algorithm that learns HTN domain descriptions by examining plan traces produced by an expert problem-solver. Prior work on learning HTN methods requires that a...
Okhtay Ilghami, Dana S. Nau, Héctor Mu&ntil...
137
Voted
ESANN
2004
15 years 5 months ago
Separability of analytic postnonlinear blind source separation with bounded sources
The aim of blind source separation (BSS) is to transform a mixed random vector such that the original sources are recovered. If the sources are assumed to be statistically independ...
Fabian J. Theis, Peter Gruber
103
Voted
AIPS
1994
15 years 5 months ago
Becoming Increasingly Reliable
Autonomousmobile robots need to detect potential failures reliably and react appropriately. Dueto uncertainties about the robots and their environment,it is extremelydifficult to ...
Reid G. Simmons
91
Voted
ANOR
2007
81views more  ANOR 2007»
15 years 3 months ago
A conditional-SGT-VaR approach with alternative GARCH models
This paper proposes a conditional technique for the estimation of VaR and expected shortfall measures based on the skewed generalized t (SGT) distribution. The estimation of the co...
Turan G. Bali, Panayiotis Theodossiou