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ML
2002
ACM
128views Machine Learning» more  ML 2002»
15 years 7 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee
HICSS
2009
IEEE
113views Biometrics» more  HICSS 2009»
15 years 5 months ago
Benchmarking Technique in E-Business Using the Galileo Method
We propose a benchmarking technique that is combined with customer's cognitive structures. Customer's cognitive structures are determined using a multi-dimensional scali...
Cheul Rhee, Junghoon Moon, G. Lawrence Sanders, Yo...
ICML
2005
IEEE
16 years 8 months ago
An efficient method for simplifying support vector machines
In this paper we describe a new method to reduce the complexity of support vector machines by reducing the number of necessary support vectors included in their solutions. The red...
DucDung Nguyen, Tu Bao Ho
ICASSP
2009
IEEE
16 years 2 months ago
Blind Monte Carlo detection-estimation method for optical coherence tomography
We consider the parametric analysis of frequency-domain optical coherence tomography (OCT) signals. A Monte Carlo (Gibbs sampler) detection-estimation method for determining the d...
Georg Kail, Clemens Novak, Bernd Hofer, Franz Hlaw...
PKDD
2007
Springer
146views Data Mining» more  PKDD 2007»
16 years 1 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