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» Predictive Modeling with Heterogeneous Sources
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ML
2010
ACM
135views Machine Learning» more  ML 2010»
13 years 3 months ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer
APSEC
2005
IEEE
13 years 10 months ago
Increasing the Efficiency of Fault Detection in Modified Code
Many software systems are developed in a number of consecutive releases. Each new release does not only add new code but also modifies already existing one. In this study we have ...
Piotr Tomaszewski, Lars Lundberg, Håkan Grah...
LPNMR
2005
Springer
14 years 2 months ago
Data Integration: a Challenging ASP Application
Abstract. The paper presents INFOMIX a successful application of ASP technology to the domain of Data Integration. INFOMIX is a novel system which supports powerful information int...
Nicola Leone, Thomas Eiter, Wolfgang Faber, Michae...
AUSDM
2006
Springer
100views Data Mining» more  AUSDM 2006»
14 years 17 days ago
Data Mining Methodological Weaknesses and Suggested Fixes
Predictive accuracy claims should give explicit descriptions of the steps followed, with access to the code used. This allows referees and readers to check for common traps, and t...
John H. Maindonald
STAIRS
2008
169views Education» more  STAIRS 2008»
13 years 10 months ago
Probabilistic Association Rules for Item-Based Recommender Systems
Since the beginning of the 1990's, the Internet has constantly grown, proposing more and more services and sources of information. The challenge is no longer to provide users ...
Sylvain Castagnos, Armelle Brun, Anne Boyer