1034 search results - page 116 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
117
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
The UCT algorithm learns a value function online using sample-based search. The TD() algorithm can learn a value function offline for the on-policy distribution. We consider three...
85
Voted
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
135
Voted
TASLP
2008
15 years 14 days ago
2008
This paper describes an approach for computing a consensus translation from the outputs of multiple machine translation (MT) systems. The consensus translation is computed by weigh...
116
Voted
AI
1999
Springer
15 years 8 days ago
1999
Springer
We present a new machine learning method that, given a set of training examples, induces a definition of the target concept in terms of a hierarchy of intermediate concepts and th...
137
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CIVR
2005
Springer
15 years 6 months ago
2005
Springer
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...