780 search results - page 40 / 156 » Learning Low-Density Separators |
COLT
2001
Springer
14 years 3 days ago
2001
Springer
A class C of recursive functions is called robustly learnable in the sense I (where I is any success criterion of learning) if not only C itself but even all transformed classes Î...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
ML
2010
ACM
13 years 2 months ago
2010
ACM
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
ICML
2002
IEEE
14 years 8 months ago
2002
IEEE
Learning from structured data is becoming increasingly important. However, most prior work on kernel methods has focused on learning from attribute-value data. Only recently, rese...