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EDM
2009
110views Data Mining» more  EDM 2009»
13 years 5 months ago
Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions o
A basic question of instructional interventions is how effective it is in promoting student learning. This paper presents a study to determine the relative efficacy of different in...
Mingyu Feng, Joseph Beck, Neil T. Heffernan
CP
2010
Springer
13 years 6 months ago
Spatial, Temporal, and Hybrid Decompositions for Large-Scale Vehicle Routing with Time Windows
This paper studies the use of decomposition techniques to quickly find high-quality solutions to large-scale vehicle routing problems with time windows. It considers an adaptive d...
Russell Bent, Pascal Van Hentenryck
ANNPR
2006
Springer
13 years 11 months ago
Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques
Abstract. Decomposition techniques are used to speed up training support vector machines but for linear programming support vector machines (LP-SVMs) direct implementation of decom...
Yusuke Torii, Shigeo Abe
IEEEIAS
2007
IEEE
14 years 1 months ago
An LSB Data Hiding Technique Using Prime Numbers
In this paper, a novel data hiding technique is proposed, as an improvement over the Fibonacci LSB data-hiding technique proposed by Battisti et al. [1]. First we mathematically m...
Sandipan Dey, Ajith Abraham, Sugata Sanyal
ICSM
2009
IEEE
13 years 5 months ago
Decomposing object-oriented class modules using an agglomerative clustering technique
Software can be considered a live entity, as it undergoes many alterations throughout its lifecycle. Furthermore, developers do not usually retain a good design in favor of adding...
Marios Fokaefs, Nikolaos Tsantalis, Alexander Chat...