2190 search results - page 102 / 438 » Learning with the Set Covering Machine |
RSFDGRC
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
ICML
2002
IEEE
14 years 10 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...
ML
2002
ACM
13 years 8 months ago
2002
ACM
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
AAAI
2008
13 years 11 months ago
2008
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
ECTEL
2007
Springer
14 years 3 months ago
2007
Springer
Knowledge Repositories can be a potential solution in order to cover agricultural professionals' lifelong learning needs. An application area of particular interest is the one...