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» Learning Classifiers from Semantically Heterogeneous Data
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LREC
2010
174views Education» more  LREC 2010»
13 years 10 months ago
SINotas: the Evaluation of a NLG Application
SINotas is a data-to-text NLG application intended to produce short textual reports on students'academic performance from a database conveying their grades, weekly attendance...
Roberto P. A. Araujo, Rafael L. de Oliveira, Eder ...
KDD
2007
ACM
149views Data Mining» more  KDD 2007»
14 years 9 months ago
Distributed classification in peer-to-peer networks
This work studies the problem of distributed classification in peer-to-peer (P2P) networks. While there has been a significant amount of work in distributed classification, most o...
Ping Luo, Hui Xiong, Kevin Lü, Zhongzhi Shi
CLEAR
2006
Springer
151views Biometrics» more  CLEAR 2006»
14 years 14 days ago
Head Pose Estimation on Low Resolution Images
This paper addresses the problem of estimating head pose over a wide range of angles from low-resolution images. Faces are detected using chrominance-based features. Grey-level nor...
Nicolas Gourier, Jérôme Maisonnasse, ...
ICDM
2010
IEEE
193views Data Mining» more  ICDM 2010»
13 years 6 months ago
Supervised Link Prediction Using Multiple Sources
Link prediction is a fundamental problem in social network analysis and modern-day commercial applications such as Facebook and Myspace. Most existing research approaches this pro...
Zhengdong Lu, Berkant Savas, Wei Tang, Inderjit S....
DATAMINE
2008
143views more  DATAMINE 2008»
13 years 8 months ago
Automatically countering imbalance and its empirical relationship to cost
Learning from imbalanced datasets presents a convoluted problem both from the modeling and cost standpoints. In particular, when a class is of great interest but occurs relatively...
Nitesh V. Chawla, David A. Cieslak, Lawrence O. Ha...