495 search results - page 46 / 99 » Learning to generalize for complex selection tasks |
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
ECAI
2000
Springer
14 years 25 days ago
2000
Springer
A number of Inductive Logic Programming (ILP) systems have addressed the problem of learning First Order Logic (FOL) discriminant definitions by first reformulating the FOL lear...
ML
2000
ACM
13 years 8 months ago
2000
ACM
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
ARTMED
1999
13 years 8 months ago
1999
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
ICRA
2010
IEEE
13 years 7 months ago
2010
IEEE
— Teaching a robot to learn new knowledge is a repetitive and tedious process. In order to accelerate the process, we propose a novel template-based approach for robot arm moveme...