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ECML
2003
Springer
15 years 3 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
BMCBI
2007
194views more  BMCBI 2007»
14 years 10 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
DAC
2003
ACM
15 years 3 months ago
NORM: compact model order reduction of weakly nonlinear systems
This paper presents a compact Nonlinear model Order Reduction Method (NORM) that is applicable for time-invariant and time-varying weakly nonlinear systems. NORM is suitable for r...
Peng Li, Lawrence T. Pileggi
DATE
2002
IEEE
137views Hardware» more  DATE 2002»
15 years 2 months ago
Practical Instruction Set Design and Compiler Retargetability Using Static Resource Models
The design of application (-domain) specific instructionset processors (ASIPs), optimized for code size, has traditionally been accompanied by the necessity to program assembly, ...
Qin Zhao, Bart Mesman, Twan Basten
CVPR
2012
IEEE
13 years 6 days ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....