2103 search results - page 59 / 421 » Approximate Learning of Dynamic Models |
134
click to vote
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
A new "herding" algorithm is proposed which directly converts observed moments into a sequence of pseudo-samples. The pseudosamples respect the moment constraints and ma...
132
Voted
ICML
1999
IEEE
16 years 3 months ago
1999
IEEE
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
91
Voted
ICML
2002
IEEE
16 years 3 months ago
2002
IEEE
We apply the Message from Monte Carlo (MMC) algorithm to inference of univariate polynomials. MMC is an algorithm for point estimation from a Bayesian posterior sample. It partiti...
123
click to vote
PR
2008
15 years 2 months ago
2008
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
170
click to vote
TSMC
2010
14 years 9 months ago
2010
Abstract--For the last decade, we have developed a visionbased architecture for mobile robot navigation. Our bio-inspired model of the navigation has proved to achieve sensory-moto...