32 search results - page 1 / 7 » Efficient Learning with Partially Observed Attributes |
71
Voted
ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
We describe and analyze efficient algorithms for learning a linear predictor from examples when the learner can only view a few attributes of each training example. This is the ca...
AAAI
2006
14 years 11 months ago
2006
We present tractable, exact algorithms for learning actions' effects and preconditions in partially observable domains. Our algorithms maintain a propositional logical repres...
71
Voted
ICML
2010
IEEE
14 years 8 months ago
2010
IEEE
We provide a novel view of learning an approximate model of a partially observable environment from data and present a simple implemenf the idea. The learned model abstracts away ...
78
Voted
IJCAI
2007
14 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...
ICMLA
2008
14 years 11 months ago
2008
Learning by imitation has shown to be a powerful paradigm for automated learning in autonomous robots. This paper presents a general framework of learning by imitation for stochas...