2363 search results - page 17 / 473 » Learning Algorithms for Domain Adaptation |
ROBOCUP
2007
Springer
14 years 1 months ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
AUSAI
2004
Springer
14 years 27 days ago
2004
Springer
The conversational agent understands and provides users with proper information based on natural language. Conventional agents based on pattern matching have much restriction to ma...
ICRA
2009
IEEE
14 years 2 months ago
2009
IEEE
— Traditional approaches to programming robots are generally inaccessible to non-robotics-experts. A promising exception is the Learning from Demonstration paradigm. Here a polic...
ACL
2008
13 years 9 months ago
2008
We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task acr...
AMS
2007
Springer
14 years 1 months ago
2007
Springer
Autonomous robots that can adapt to novel situations has been a long standing vision of robotics, artificial intelligence, and cognitive sciences. Early approaches to this goal du...