155 search results - page 1 / 31 » The Problem with Noise and Small Disjuncts |
ICML
1998
IEEE
13 years 8 months ago
1998
IEEE
Many systems that learn from examples express the learned concept as a disjunction. Those disjuncts that cover only a few examples are referred to as small disjuncts. The problem ...
ICML
1995
IEEE
13 years 8 months ago
1995
IEEE
Systems that learn from examples often create a disjunctive concept definition. Small disjuncts are those disjuncts which cover only a few training examples. The problem with sma...
AAAI
2000
13 years 6 months ago
2000
Systems that learn from examples often express the learned concept in the form of a disjunctive description. Disjuncts that correctly classify few training examples are known as s...
SBIA
2004
Springer
13 years 10 months ago
2004
Springer
One of the main objectives of a Machine Learning – ML – system is to induce a classifier that minimizes classification errors. Two relevant topics in ML are the understanding...
ICIP
2005
IEEE
14 years 6 months ago
2005
IEEE
Binary segmentation, a problem of extracting foreground objects from the background, often arises in medical imaging and document processing. Popular existing solutions include Ex...