4773 search results - page 36 / 955 » Learning from Uncertain Data |
119
Voted
KDD
1999
ACM
15 years 6 months ago
1999
ACM
In this paper a concern about the accuracy (as a function of parallelism) of a certain class of distributed learning algorithms is raised, and one proposed improvement is illustrat...
120
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
We consider the problem of extracting informative exemplars from a data stream. Examples of this problem include exemplarbased clustering and nonparametric inference such as Gauss...
PKDD
1999
Springer
15 years 6 months ago
1999
Springer
This paper addresses the problem of learning from highly structured data. Speci cally, it describes a procedure, called decomposition, that allows a learner to access automatically...
95
Voted
FUZZIEEE
2007
IEEE
15 years 8 months ago
2007
IEEE
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
123
Voted
DAGM
2004
Springer
15 years 7 months ago
2004
Springer
We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to...