715 search results - page 98 / 143 » Neural Network with Matrix Inputs |
NIPS
2003
13 years 10 months ago
2003
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...
ML
1998
ACM
13 years 8 months ago
1998
ACM
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy, but may behave di erently due to position-dependent inputs. All...
ICDM
2007
IEEE
14 years 3 months ago
2007
IEEE
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
ICPR
2002
IEEE
14 years 9 months ago
2002
IEEE
The performance of face verification systems has steadily improved over the last few years, mainly focusing on models rather than on feature processing. State-of-the-art methods o...
ICANN
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...