4660 search results - page 232 / 932 » Learning from imperfect data |
122
Voted
SIGMOD
2010
ACM
15 years 5 months ago
2010
ACM
Improving data quality is a time-consuming, labor-intensive and often domain specific operation. Existing data repair approaches are either fully automated or not efficient in int...
170
click to vote
ICDM
2010
IEEE
15 years 3 months ago
2010
IEEE
Abstract--This paper presents a framework for privacypreserving Gaussian Mixture Model computations. Specifically, we consider a scenario where a central service wants to learn the...
143
click to vote
KDD
2008
ACM
16 years 5 months ago
2008
ACM
Active learning may hold the key for solving the data scarcity problem in supervised learning, i.e., the lack of labeled data. Indeed, labeling data is a costly process, yet an ac...
136
click to vote
KDD
2010
ACM
15 years 7 months ago
2010
ACM
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
143
Voted
KDD
1995
ACM
15 years 8 months ago
1995
ACM
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...