4591 search results - page 226 / 919 » Learning from Dyadic Data |
141
Voted
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...
133
Voted
KDD
2010
ACM
15 years 6 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...
137
click to vote
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...
122
click to vote
ICPR
2010
IEEE
15 years 2 months ago
2010
IEEE
Unlike most previous manifold-based data classification algorithms assume that all the data points are on a single manifold, we expect that data from different classes may reside ...
140
Voted
EDM
2008
15 years 6 months ago
2008
We introduce an open data repository and set of associated visualization and analysis tools. The Pittsburgh Science of Learning Center's "DataShop" has data from tho...