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110
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ICMLA
2007
15 years 2 months ago
2007
We introduce a polynomial-time algorithm to learn Bayesian networks whose structure is restricted to nodes with in-degree at most k and to edges consistent with the optimal branch...
102
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AUTOMATICA
2006
15 years 1 months ago
2006
This paper revisits a well-known synthesis problem in iterative learning control, where the objective is to optimize a performance criterion over a class of causal iterations. The...
103
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COLT
2007
Springer
15 years 7 months ago
2007
Springer
This paper solves an important problem left open in the literature by showing that U-shapes are unnecessary in iterative learning. A U-shape occurs when a learner first learns, t...
ALT
1998
Springer
15 years 5 months ago
1998
Springer
Learning from positive examples occurs very frequently in natural learning. The PAC learning model of Valiant takes many features of natural learning into account, but in most case...
101
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ICML
1997
IEEE
16 years 2 months ago
1997
IEEE
The goal of robot learning from demonstration is to have a robot learn from watching a demonstration of the task to be performed. In our approach to learning from demonstration th...