651 search results - page 97 / 131 » Algorithms for Inverse Reinforcement Learning |
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
The appearance of dynamic scenes is often largely governed by a latent low-dimensional dynamic process. We show how to learn a mapping from video frames to this lowdimensional rep...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
MVA
1992
14 years 11 months ago
1992
We present a new algorithm for topological feature mapping. It is compared to other known feature mapping algorithmslike that proposed by Kohonen or Bertsch. The main difference t...
ICANN
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. We present a method to find the exact maximal margin hyperplane for linear Support Vector Machines when a new (existing) component is added (removed) to (from) the inner...
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JAIR
2007
14 years 9 months ago
2007
In this paper we present a general, flexible framework for learning mappings from images to actions by interacting with the environment. The basic idea is to introduce a feature-...