7 search results - page 1 / 2 » Rule Extraction from Support Vector Machines: Measuring the ... |
ICPR
2006
IEEE
14 years 7 months ago
2006
IEEE
Recently, the area of rule extraction from support vector machines (SVMs) has been explored. One important indication of the success of a rule extraction method is the performance...
BMCBI
2005
13 years 6 months ago
2005
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
BMCBI
2006
2006
Searching for interpretable rules for disease mutations: a simulated annealing bump hunting strategy
13 years 6 months ago
Background: Understanding how amino acid substitutions affect protein functions is critical for the study of proteins and their implications in diseases. Although methods have bee...
ICONIP
2008
13 years 7 months ago
2008
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
BMCBI
2008
13 years 6 months ago
2008
Background: MicroRNAs (miRNAs) are a set of small non-coding RNAs serving as important negative gene regulators. In animals, miRNAs turn down protein translation by binding to the...