5075 search results - page 51 / 1015 » Convergence |
NIPS
2001
15 years 1 months ago
2001
We address two open theoretical questions in Policy Gradient Reinforcement Learning. The first concerns the efficacy of using function approximation to represent the state action ...
121
click to vote
NIPS
1994
15 years 1 months ago
1994
This paper studies the convergence properties of the well known K-Means clustering algorithm. The K-Means algorithm can be described either as a gradient descent algorithmor by sl...
AMC
2007
14 years 12 months ago
2007
A hierarchical least squares (HLS) algorithm is derived in details for identifying MIMO ARX-like systems based on the hierarchical identification principle. It is shown that the ...
BMCBI
2007
14 years 12 months ago
2007
Background: Many algorithms exist for protein structural alignment, based on internal protein coordinates or on explicit superposition of the structures. These methods are usually...
DCG
2010
14 years 12 months ago
2010
We study discrete curvatures computed from nets of curvature lines on a given smooth surface and prove their uniform convergence to smooth principal curvatures. We provide explicit...