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171
Voted
ML
2008
ACM
248views Machine Learning» more  ML 2008»
15 years 3 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
152
Voted
ML
2008
ACM
110views Machine Learning» more  ML 2008»
15 years 2 months ago
A theory of learning with similarity functions
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Maria-Florina Balcan, Avrim Blum, Nathan Srebro
242
Voted
ML
2011
ACM
308views Machine Learning» more  ML 2011»
14 years 10 months ago
Relational information gain
Abstract. Type Extension Trees (TET) have been recently introduced as an expressive representation language allowing to encode complex combinatorial features of relational entities...
Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andre...
128
Voted
JELIA
2010
Springer
15 years 2 months ago
A Dynamic-Programming Based ASP-Solver
Abstract. We present a novel system for propositional Answer-Set Programming (ASP). This system, called dynASP, is based on dynamic programming and thus significantly differs fro...
Michael Morak, Reinhard Pichler, Stefan Rümme...
ICSM
1998
IEEE
15 years 7 months ago
Two Case Studies in Measuring Software Maintenance Effort
In this paper we present the results of two measurement programs, that were aimed at investigating possible cost drivers for software maintenance. The two measurement programs wer...
Frank Niessink, Hans van Vliet