3206 search results - page 380 / 642 » Robot Learning From Demonstration |
157
click to vote
IJCAI
2007
15 years 8 months ago
2007
Dimensionality reduction is a much-studied task in machine learning in which high-dimensional data is mapped, possibly via a non-linear transformation, onto a low-dimensional mani...
166
click to vote
FLAIRS
2001
15 years 8 months ago
2001
Lessons learned systems (LLS) are systems that support a lessons learned process (LLP) to collect, verify, store, disseminate, and reuse organizational lessons. In this paper we e...
197
click to vote
NN
2002
Springer
2002
Springer
Optimal design of regularization term and regularization parameter by subspace information criterion
15 years 6 months ago
The problem of designing the regularization term and regularization parameter for linear regression models is discussed. Previously, we derived an approximation to the generalizat...
207
click to vote
ML
2010
ACM
15 years 5 months ago
2010
ACM
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...
224
click to vote
JMLR
2012
13 years 9 months ago
2012
We consider the task of devising large-margin based surrogate losses for the learning to rank problem. In this learning to rank setting, the traditional hinge loss for structured ...