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» Coevolutionary Algorithm For Rule Induction
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PKDD
2007
Springer
146views Data Mining» more  PKDD 2007»
15 years 3 months ago
A Method for Multi-relational Classification Using Single and Multi-feature Aggregation Functions
This paper presents a novel method for multi-relational classification via an aggregation-based Inductive Logic Programming (ILP) approach. We extend the classical ILP representati...
Richard Frank, Flavia Moser, Martin Ester
ICCAD
1995
IEEE
163views Hardware» more  ICCAD 1995»
15 years 1 months ago
Signal integrity optimization on the pad assignment for high-speed VLSI design
Pad assignment with signal integrity optimization is very important for high-speed VLSI design. In this paper, an efficient method is proposed to effectively minimize both simulta...
Kai-Yuan Chao, D. F. Wong
FLAIRS
2006
14 years 11 months ago
Machine Learning for Imbalanced Datasets: Application in Medical Diagnostic
In this paper, we present a new rule induction algorithm for machine learning in medical diagnosis. Medical datasets, as many other real-world datasets, exhibit an imbalanced clas...
Luis Mena, Jesus A. Gonzalez
EACL
2003
ACL Anthology
14 years 11 months ago
Learning to Identify Fragmented Words in Spoken Discourse
Disfluent speech adds to the difficulty of processing spoken language utterances. In this paper we concentrate on identifying one disfluency phenomenon: fragmented words. Our d...
Piroska Lendvai
86
Voted
ICML
2010
IEEE
14 years 10 months ago
Bottom-Up Learning of Markov Network Structure
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
Jesse Davis, Pedro Domingos