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116
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ICML
2001
IEEE
16 years 4 months ago
Round Robin Rule Learning
In this paper, we discuss a technique for handling multi-class problems with binary classifiers, namely to learn one classifier for each pair of classes. Although this idea is kno...
Johannes Fürnkranz
WWW
2009
ACM
16 years 4 months ago
Graffiti: node labeling in heterogeneous networks
We introduce a multi-label classification model and algorithm for labeling heterogeneous networks, where nodes belong to different types and different types have different sets of...
Ralitsa Angelova, Gjergji Kasneci, Fabian M. Sucha...
WWW
2006
ACM
16 years 4 months ago
Extracting news-related queries from web query log
In this poster, we present a method for extracting queries related to real-life events, or news-related queries, from large web query logs. The method employs query frequencies an...
Michael Maslov, Alexander Golovko, Ilya Segalovich...
ICC
2007
IEEE
15 years 9 months ago
Optimal Pilot Symbol Distribution for Efficient and Low-Complexity Doppler-Shift and Doppler-Rate Estimation in Bursty Transmiss
— Due to relative motion between the transmitter and the receiver, the carrier of the received signal in digital burstmode transmission can be affected by Doppler distortion. Thi...
Luca Giugno, Francesca Zanier, Marco Luise
135
Voted
PKDD
2007
Springer
146views Data Mining» more  PKDD 2007»
15 years 9 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