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ECML
2007
Springer
14 years 1 months ago
Statistical Debugging Using Latent Topic Models
Abstract. Statistical debugging uses machine learning to model program failures and help identify root causes of bugs. We approach this task using a novel Delta-Latent-Dirichlet-Al...
David Andrzejewski, Anne Mulhern, Ben Liblit, Xiao...
EDM
2010
248views Data Mining» more  EDM 2010»
13 years 9 months ago
Analyzing Learning Styles using Behavioral Indicators in Web based Learning Environments
It is argued that the analysis of the learner's generated log files during interactions with a learning environment is necessary to produce interpretative views of their activ...
Nabila Bousbia, Jean-Marc Labat, Amar Balla, Issam...
AOSD
2009
ACM
13 years 11 months ago
A generic and reflective debugging architecture to support runtime visibility and traceability of aspects
In this paper we present a generic, mirror-based debugging architecture that supports runtime visibility and traceability of aspect oriented (AO) software systems. Runtime visibil...
Wouter De Borger, Bert Lagaisse, Wouter Joosen
GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
13 years 8 months ago
A genetic programming approach to business process mining
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen
ICDAR
2005
IEEE
14 years 1 months ago
A Novel Approach to Recover Writing Order From Single Stroke Offline Handwritten Images
Problem of recovering a writing order from singlestroked handwritten image can be seen as finding the smoothest Euler path in its graph representation. In this paper, a novel appr...
Yu Qiao, Makoto Yasuhara