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BPM
2005
Springer
102views Business» more  BPM 2005»
15 years 8 months ago
Integrating Process Learning and Process Evolution - A Semantics Based Approach
Companies are developing a growing interest in aligning their information systems in a process-oriented way. However, current processaware information systems (PAIS) fail to meet p...
Stefanie Rinderle, Barbara Weber, Manfred Reichert...
121
Voted
AUSAI
2006
Springer
15 years 6 months ago
Lazy Learning for Improving Ranking of Decision Trees
Decision tree-based probability estimation has received great attention because accurate probability estimation can possibly improve classification accuracy and probability-based r...
Han Liang, Yuhong Yan
92
Voted
ACSW
2004
15 years 4 months ago
Learning Dynamics of Pesticide Abuse through Data Mining
Recent studies by agriculture researchers in Pakistan have shown that attempts of crop yield maximization through pro-pesticide state policies have led to a dangerously high pesti...
Ahsan Abdullah, Stephen Brobst, Ijaz Pervaiz
108
Voted
AAAI
1998
15 years 4 months ago
Boosting in the Limit: Maximizing the Margin of Learned Ensembles
The "minimum margin" of an ensemble classifier on a given training set is, roughly speaking, the smallest vote it gives to any correct training label. Recent work has sh...
Adam J. Grove, Dale Schuurmans
111
Voted
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
15 years 14 days ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...