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» Constraint Programming for Data Mining and Machine Learning
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KDD
1998
ACM
113views Data Mining» more  KDD 1998»
15 years 7 months ago
Targeting Business Users with Decision Table Classifiers
Business users and analysts commonly use spreadsheets and 2D plots to analyze and understand their data. On-line Analytical Processing (OLAP) provides these users with added flexi...
Ron Kohavi, Dan Sommerfield
KDD
2009
ACM
152views Data Mining» more  KDD 2009»
16 years 3 months ago
A multi-relational approach to spatial classification
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Richard Frank, Martin Ester, Arno Knobbe
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
15 years 1 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
BMCBI
2010
113views more  BMCBI 2010»
15 years 3 months ago
Gene prioritization and clustering by multi-view text mining
Background: Text mining has become a useful tool for biologists trying to understand the genetics of diseases. In particular, it can help identify the most interesting candidate g...
Shi Yu, Léon-Charles Tranchevent, Bart De M...
ICDCSW
2009
IEEE
15 years 9 months ago
Embedded Virtual Machines for Robust Wireless Control Systems
Embedded wireless networks have largely focused on openloop sensing and monitoring. To address actuation in closedloop wireless control systems there is a strong need to re-think ...
Rahul Mangharam, Miroslav Pajic