192 search results - page 23 / 39 » Boosting in Probabilistic Neural Networks |
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
IJCNN
2008
IEEE
14 years 3 months ago
2008
IEEE
— Probabilistic models were developed to provide predictive distributions of daily maximum surface level ozone concentrations. Five forecast models were compared at two stations ...
ICVS
2009
Springer
14 years 3 months ago
2009
Springer
Abstract We present a new system for 3D head tracking and pose estimation in low-resolution, multi-view environments. Our approach consists of a joint particle filter scheme, that...
ICANN
1997
Springer
14 years 27 days ago
1997
Springer
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy but may behave differently due to position-dependent inputs. All...
NN
2006
Springer
13 years 8 months ago
2006
Springer
An important component of language acquisition and cognitive learning is gaze imitation. Infants as young as one year of age can follow the gaze of an adult to determine the objec...