132 search results - page 21 / 27 » Learning Adaptive Parameters with Restricted Genetic Optimiz... |
NIPS
1998
15 years 29 days ago
1998
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
68
Voted
ICML
2009
IEEE
16 years 13 days ago
2009
IEEE
We present a general Bayesian framework for hyperparameter tuning in L2-regularized supervised learning models. Paradoxically, our algorithm works by first analytically integratin...
104
click to vote
CEC
2009
IEEE
15 years 6 months ago
2009
IEEE
—In this paper we discuss the notion of situated evolution. Our treatment includes positioning situated evolution on the map of evolutionary processes in terms of time- and space...
112
Voted
EDBT
2000
ACM
15 years 4 months ago
2000
ACM
In high-dimensional query processing, the optimization of the logical page-size of index structures is an important research issue. Even very simple query processing techniques suc...
121
click to vote
COLT
2010
Springer
14 years 9 months ago
2010
Springer
We study graph estimation and density estimation in high dimensions, using a family of density estimators based on forest structured undirected graphical models. For density estim...