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ECML
2003
Springer
15 years 10 months ago
Logistic Model Trees
Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...
Niels Landwehr, Mark Hall, Eibe Frank
HASE
2007
IEEE
15 years 11 months ago
Integrating Product-Line Fault Tree Analysis into AADL Models
Fault Tree Analysis (FTA) is a safety-analysis technique that has been recently extended to accommodate product-line engineering for critical domains. This paper describes a tool-...
Hongyu Sun, Miriam Hauptman, Robyn R. Lutz
ML
2006
ACM
163views Machine Learning» more  ML 2006»
15 years 4 months ago
Extremely randomized trees
Abstract This paper proposes a new tree-based ensemble method for supervised classification and regression problems. It essentially consists of randomizing strongly both attribute ...
Pierre Geurts, Damien Ernst, Louis Wehenkel
ICPR
2006
IEEE
16 years 5 months ago
Fast Support Vector Machine Classification using linear SVMs
We propose a classification method based on a decision tree whose nodes consist of linear Support Vector Machines (SVMs). Each node defines a decision hyperplane that classifies p...
Karina Zapien Arreola, Janis Fehr, Hans Burkhardt
IDA
2005
Springer
15 years 10 months ago
Learning from Ambiguously Labeled Examples
Inducing a classification function from a set of examples in the form of labeled instances is a standard problem in supervised machine learning. In this paper, we are concerned w...
Eyke Hüllermeier, Jürgen Beringer