1293 search results - page 29 / 259 » Modelling Smooth Paths Using Gaussian Processes |
128
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...
161
Voted
PKDD
2010
Springer
15 years 1 days ago
2010
Springer
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
159
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NIPS
2008
15 years 3 months ago
2008
Identification and comparison of nonlinear dynamical system models using noisy and sparse experimental data is a vital task in many fields, however current methods are computation...
107
Voted
CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
In this paper, we introduce the Skellam distribution as a sensor noise model for CCD or CMOS cameras. This is derived from the Poisson distribution of photons that determine the s...
107
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NIPS
2003
15 years 3 months ago
2003
We generalise the Gaussian process (GP) framework for regression by learning a nonlinear transformation of the GP outputs. This allows for non-Gaussian processes and non-Gaussian ...