399 search results - page 23 / 80 » Robust Boosting for Learning from Few Examples |
HRI
2010
ACM
15 years 2 months ago
2010
ACM
— Assisting humans in their daily lives requires robots to be proficient in manual tasks and effective in communicating states/intentions with human users. This paper advocates ...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
We propose a novel ensemble learning algorithm called Triskel, which has two interesting features. First, Triskel learns an ensemble of classifiers, each biased to have high preci...
COLT
2003
Springer
15 years 3 months ago
2003
Springer
Abstract. We study the problem of learning partitions using equivalence constraints as input. This is a binary classification problem in the product space of pairs of datapoints. ...
ICALT
2008
IEEE
15 years 4 months ago
2008
IEEE
In recent years, virtual museums have become more widespread and the usage of them for educational purposes has increased. They are used to facilitate educational process in diffe...
ICML
2010
IEEE
14 years 10 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...