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» Extracting Web Data Using Instance-Based Learning
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ICDM
2003
IEEE
225views Data Mining» more  ICDM 2003»
14 years 2 months ago
Combining the web content and usage mining to understand the visitor behavior in a web site
A web site is a semi structured collection of different kinds of data, whose motivation is show relevant information to visitor and by this way capture her/his attention. Understa...
Juan D. Velásquez, Hiroshi Yasuda, Terumasa...
ICDM
2005
IEEE
217views Data Mining» more  ICDM 2005»
14 years 2 months ago
Improving Automatic Query Classification via Semi-Supervised Learning
Accurate topical classification of user queries allows for increased effectiveness and efficiency in general-purpose web search systems. Such classification becomes critical if th...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
14 years 3 months ago
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Georgios Petkos, Sethu Vijayakumar
ICWE
2004
Springer
14 years 2 months ago
Personalizing Web Sites for Mobile Devices Using a Graphical User Interface
Despite recent advances in wireless and portable hardware technologies, mobile access to the Web is often laborious. For this reason, several solutions have been proposed to custom...
Leonardo Teixeira Passos, Marco Tulio de Oliveira ...
ICML
2005
IEEE
14 years 9 months ago
Combining model-based and instance-based learning for first order regression
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
Kurt Driessens, Saso Dzeroski