798 search results - page 71 / 160 » Perceptual Learning and Abstraction in Machine Learning |
ALT
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. Smooth boosting algorithms are variants of boosting methods which handle only smooth distributions on the data. They are proved to be noise-tolerant and can be used in th...
COLT
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. We establish a generic theoretical tool to construct probabilistic bounds for algorithms where the output is a subset of objects from an initial pool of candidates (or mo...
ECML
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. We introduce a nonparametric model for sensitivity estimation which relies on generating points similar to the prediction point using its k nearest neighbors. Unlike most...
IWANN
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
NLDB
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. In this paper, we describe a new way to access information by “chatting” to an information source. This involves a chatbot, a program that emulates human conversation...