10054 search results - page 119 / 2011 » On the Complexity of Function Learning |
86
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
127
Voted
ML
2008
ACM
14 years 11 months ago
2008
ACM
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
110
click to vote
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...
94
Voted
VAMOS
2009
Springer
15 years 7 months ago
2009
Springer
The application of functional networks in the automotive industry is still very slowly adopted into their development processes. Reasons for this are manifold. A functional networ...
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
We consider the problem of learning a similarity function from a set of positive equivalence constraints, i.e. 'similar' point pairs. We define the similarity in informa...