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SIGMOD
2012
ACM
232views Database» more  SIGMOD 2012»
13 years 8 months ago
Large-scale machine learning at twitter
The success of data-driven solutions to difficult problems, along with the dropping costs of storing and processing massive amounts of data, has led to growing interest in largesc...
Jimmy Lin, Alek Kolcz
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
15 years 11 months ago
Learning to predict train wheel failures
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
Chunsheng Yang, Sylvain Létourneau
HICSS
2003
IEEE
112views Biometrics» more  HICSS 2003»
15 years 11 months ago
Learning Through Telemedicine Networks
Telemedicine is advocated for its potential to improve the accessibility and quality of health care delivery while lowering costs [1]. Although the potential benefits of telemedic...
Liqiong Deng, Marshall Scott Poole
KDD
2010
ACM
247views Data Mining» more  KDD 2010»
15 years 8 months ago
Active learning for biomedical citation screening
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...
ICCV
2011
IEEE
14 years 6 months ago
From Learning Models of Natural Image Patches to Whole Image Restoration
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
Daniel Zoran, Yair Weiss