4773 search results - page 172 / 955 » Learning from Uncertain Data |
IJCAI
1989
13 years 11 months ago
1989
Despite the fact that many symbolic and connectionist (neural net) learning algorithms are addressing the same problem of learning from classified examples, very little Is known r...
ICML
2002
IEEE
14 years 11 months ago
2002
IEEE
Supervised learning techniques for text classi cation often require a large number of labeled examples to learn accurately. One way to reduce the amountoflabeled datarequired is t...
ICML
2002
IEEE
14 years 11 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...
KDD
2004
ACM
14 years 10 months ago
2004
ACM
Extracting sentiments from unstructured text has emerged as an important problem in many disciplines. An accurate method would enable us, for example, to mine online opinions from ...
BIOTECHNO
2008
IEEE
14 years 4 months ago
2008
IEEE
We use the data collected by the Lung Image Database Consortium (LIDC) for modeling the radiologists’ nodule interpretations based on image content of the nodule by using decisi...