169 search results - page 13 / 34 » Learning Languages from Positive Data and Negative Counterex... |
TCS
2008
13 years 8 months ago
2008
This paper studies a novel paradigm for learning formal languages from positive and negative examples which consists of mapping strings to an appropriate highdimensional feature s...
NCA
2007
IEEE
13 years 8 months ago
2007
IEEE
Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications...
STACS
1999
Springer
14 years 1 months ago
1999
Springer
Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...
ICML
2002
IEEE
14 years 9 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...
ECML
1987
Springer
14 years 14 days ago
1987
Springer
This paper examines the induction of classification rules from examples using real-world data. Real-world data is almost always characterized by two features, which are important ...