17 search results - page 2 / 4 » Input and Structure Selection for k-NN Approximator |
UAI
2008
13 years 7 months ago
2008
Deciding what to sense is a crucial task, made harder by dependencies and by a nonadditive utility function. We develop approximation algorithms for selecting an optimal set of me...
CGF
2010
13 years 5 months ago
2010
We focus on the class of regular models defined by Várady et al. for reverse engineering purposes. Given a 3D surface M represented through a dense set of points, we present a n...
ICRA
2003
IEEE
13 years 11 months ago
2003
IEEE
This paper presents an algorithm, called PCG, for planning the foothold positions of spider-like robots in planar tunnels bounded by piecewise linear walls. The paper focuses on 3-...
WSC
1997
13 years 7 months ago
1997
A methodology is presented which allows comparison between models under different modeling paradigms. Consider the following situation: Two models have been constructed to study d...
NIPS
2007
13 years 7 months ago
2007
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...