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ML
2008
ACM
13 years 8 months ago
Margin-based first-order rule learning
Abstract We present a new margin-based approach to first-order rule learning. The approach addresses many of the prominent challenges in first-order rule learning, such as the comp...
Ulrich Rückert, Stefan Kramer
PAA
2008
13 years 8 months ago
Online nonparametric discriminant analysis for incremental subspace learning and recognition
This paper presents a novel approach for online subspace learning based on an incremental version of the nonparametric discriminant analysis (NDA). For many real-world applications...
Bogdan Raducanu, Jordi Vitrià
JDWM
2007
122views more  JDWM 2007»
13 years 8 months ago
A Hyper-Heuristic for Descriptive Rule Induction
Rule induction from examples is a machine learning technique that finds rules of the form condition → class, where condition and class are logic expressions of the form variable...
Tho Hoan Pham, Tu Bao Ho
AI
2004
Springer
13 years 8 months ago
Hierarchical model-based diagnosis based on structural abstraction
al Abstraction Luca Chittaro and Roberto Ranon Department of Mathematics and Computer Science, University of Udine, via delle Scienze 206, 33100 Udine, Italy ion has been advocat...
Luca Chittaro, Roberto Ranon
CN
1999
103views more  CN 1999»
13 years 8 months ago
Topology Information Condensation in Hierarchical Networks
Inspired by the PNNI protocol of the ATM Forum, this work focuses on the problem of node aggregation within peer groups and link aggregation between peer groups. It is assumed tha...
Piet Van Mieghem