90 search results - page 7 / 18 » Geodesic Gaussian kernels for value function approximation |
131
Voted
ICCV
2009
IEEE
15 years 16 days ago
2009
IEEE
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
142
Voted
ICMLA
2009
15 years 15 days ago
2009
This paper introduces a new algorithm, namely the EquiCorrelation Network (ECON), to perform supervised classification, and regression. ECON is a kernelized LARS-like algorithm, b...
135
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
This paper proposes a multiple instance learning (MIL) algorithm for Gaussian processes (GP). The GP-MIL model inherits two crucial benefits from GP: (i) a principle manner of lea...
110
Voted
ICASSP
2008
IEEE
15 years 9 months ago
2008
IEEE
In this paper, we propose a method for robust kernel density estimation. We interpret a KDE with Gaussian kernel as the inner product between a mapped test point and the centroid ...
127
Voted
CSDA
2007
15 years 2 months ago
2007
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...