14 search results - page 1 / 3 » Transfer Learning with Graph Co-Regularization |
AAAI
2012
11 years 7 months ago
2012
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
AAAI
2007
13 years 7 months ago
2007
Accurately locating users in a wireless environment is an important task for many pervasive computing and AI applications, such as activity recognition. In a WiFi environment, a m...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
A general game player is an agent capable of taking as input a description of a game’s rules in a formal language and proceeding to play without any subsequent human input. To do...
ATAL
2008
Springer
13 years 6 months ago
2008
Springer
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...
ATAL
2008
Springer
13 years 6 months ago
2008
Springer
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...