603 search results - page 61 / 121 » A theory of learning from different domains |
132
click to vote
AAAI
2011
14 years 1 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
113
Voted
UAI
2003
15 years 3 months ago
2003
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
135
Voted
WEBI
2010
Springer
14 years 11 months ago
2010
Springer
The widespread use of ontologies to associate semantics with data has resulted in a growing interest in the problem of learning predictive models from data sources that use differe...
AIED
2005
Springer
15 years 7 months ago
2005
Springer
Part of the motivation behind the evolution of learning environments is the idea of providing students with individualized instructional strategies that allow them to learn as much...
110
click to vote
AIPS
2008
15 years 3 months ago
2008
The current evaluation functions for heuristic planning are expensive to compute. In numerous domains these functions give good guidance on the solution, so it worths the computat...