164 search results - page 3 / 33 » Clustering Rules Using Empirical Similarity of Support Sets |
IDEAL
2004
Springer
15 years 2 months ago
2004
Springer
Abstract. Earlier research has resulted in the production of an ‘allrules’ algorithm for data-mining that produces all conjunctive rules of above given confidence and coverage...
KDD
2002
ACM
15 years 10 months ago
2002
ACM
We propose a new clustering algorithm, called SyMP, which is based on synchronization of pulse-coupled oscillators. SyMP represents each data point by an Integrate-and-Fire oscill...
BMCBI
2006
14 years 9 months ago
2006
Background: We present an approach designed to identify gene regulation patterns using sequence and expression data collected for Saccharomyces cerevisae. Our main goal is to rela...
85
Voted
ACL
2006
14 years 11 months ago
2006
In this paper we define a novel similarity measure between examples of textual entailments and we use it as a kernel function in Support Vector Machines (SVMs). This allows us to ...
83
Voted
FUIN
2002
14 years 9 months ago
2002
The article describes a method combining two widely-used empirical approaches to learning from examples: rule induction and instance-based learning. In our algorithm (RIONA) decisi...