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KDD
2006
ACM
165views Data Mining» more  KDD 2006»
16 years 6 months ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
ICDM
2007
IEEE
101views Data Mining» more  ICDM 2007»
16 years 20 days ago
Lightweight Distributed Trust Propagation
Using mobile devices, such as smart phones, people may create and distribute different types of digital content (e.g., photos, videos). One of the problems is that digital content...
Daniele Quercia, Stephen Hailes, Licia Capra
EVOW
2007
Springer
16 years 16 days ago
Modeling Genetic Networks: Comparison of Static and Dynamic Models
Biomedical research has been revolutionized by high-throughput techniques and the enormous amount of biological data they are able to generate. The interest shown over network mode...
Cristina Rubio-Escudero, Oscar Harari, Oscar Cord&...
AUSDM
2006
Springer
114views Data Mining» more  AUSDM 2006»
15 years 10 months ago
Consolidated Trees: An Analysis of Structural Convergence
When different subsamples of the same data set are used to induce classification trees, the structure of the built classifiers is very different. The stability of the structure of ...
Jesús M. Pérez, Javier Muguerza, Ola...
SDM
2007
SIAM
120views Data Mining» more  SDM 2007»
15 years 7 months ago
An Analysis of Logistic Models: Exponential Family Connections and Online Performance
Logistic models are arguably one of the most widely used data analysis techniques. In this paper, we present analyses focussing on two important aspects of logistic models—its r...
Arindam Banerjee