254 search results - page 35 / 51 » Learning with Consistency between Inductive Functions and Ke... |
AAAI
1997
13 years 9 months ago
1997
The absolute loss is the absolute difference between the desired and predicted outcome. I demonstrateworst-case upper bounds on the absolute loss for the perceptron algorithm and ...
NIPS
2007
13 years 10 months ago
2007
A method is proposed for semiparametric estimation where parametric and nonparametric criteria are exploited in density estimation and unsupervised learning. This is accomplished ...
ICML
2000
IEEE
14 years 9 months ago
2000
IEEE
Eligibility traces have been shown to speed reinforcement learning, to make it more robust to hidden states, and to provide a link between Monte Carlo and temporal-difference meth...
ICIP
2005
IEEE
14 years 10 months ago
2005
IEEE
We provide a new comparison between hexagonal and orthogonal lattices, based on approximation theory. For each of the lattices, we select the "natural" spline basis func...
ICCV
2009
IEEE
13 years 6 months ago
2009
IEEE
Recognizing human action in non-instrumented video is a challenging task not only because of the variability produced by general scene factors like illumination, background, occlu...