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KDD
2010
ACM
257views Data Mining» more  KDD 2010»
15 years 10 months ago
Multi-task learning for boosting with application to web search ranking
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srin...
KDD
2010
ACM
282views Data Mining» more  KDD 2010»
15 years 10 months ago
Optimizing debt collections using constrained reinforcement learning
In this paper, we propose and develop a novel approach to the problem of optimally managing the tax, and more generally debt, collections processes at financial institutions. Our...
Naoki Abe, Prem Melville, Cezar Pendus, Chandan K....
PODC
2010
ACM
15 years 10 months ago
Adaptive system anomaly prediction for large-scale hosting infrastructures
Large-scale hosting infrastructures require automatic system anomaly management to achieve continuous system operation. In this paper, we present a novel adaptive runtime anomaly ...
Yongmin Tan, Xiaohui Gu, Haixun Wang
EUROSYS
2007
ACM
15 years 10 months ago
Discrete control for safe execution of IT automation workflows
As information technology (IT) administration becomes increasingly complex, workflow technologies are gaining popularity for IT automation. Writing correct workflow programs is no...
Yin Wang, Terence Kelly, Stéphane Lafortune
SIGIR
2010
ACM
15 years 10 months ago
Multilabel classification with meta-level features
Effective learning in multi-label classification (MLC) requires an ate level of abstraction for representing the relationship between each instance and multiple categories. Curren...
Siddharth Gopal, Yiming Yang
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