24 search results - page 2 / 5 » Towards a theory of incentives in machine learning |
COLT
2005
Springer
14 years 1 months ago
2005
Springer
In recent years manifold methods have attracted a considerable amount of attention in machine learning. However most algorithms in that class may be termed āmanifold-motivatedā...
ML
2008
ACM
13 years 5 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 ...
ICML
2006
IEEE
14 years 8 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 ...
ESOP
2011
Springer
12 years 11 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
ECML
2004
Springer
14 years 25 days ago
2004
Springer
In this paper, we show how the dynamics of Q-learning can be visualized and analyzed from a perspective of Evolutionary Dynamics (ED). More speciļ¬cally, we show how ED can be use...