997 search results - page 69 / 200 » Completely Lazy Learning |
AMEC
2003
Springer
14 years 3 months ago
2003
Springer
Digital information economies require information goods producers to learn how to position themselves within a potentially vast product space. Further, the topography of this spac...
AAAI
2010
13 years 11 months ago
2010
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
IJCAI
2007
13 years 11 months ago
2007
As any other problem solving task that employs search, AI Planning needs heuristics to efficiently guide the problem-space exploration. Machine learning (ML) provides several tec...
IJCAI
2007
13 years 11 months ago
2007
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
IJCAI
2001
13 years 11 months ago
2001
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...