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» Information Theory, Inference, and Learning Algorithms
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JMLR
2006
135views more  JMLR 2006»
13 years 8 months ago
Quantile Regression Forests
Random forests were introduced as a machine learning tool in Breiman (2001) and have since proven to be very popular and powerful for high-dimensional regression and classificatio...
Nicolai Meinshausen
KDD
2012
ACM
201views Data Mining» more  KDD 2012»
11 years 10 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
CVPR
2005
IEEE
14 years 10 months ago
Multilinear Independent Components Analysis
Independent Components Analysis (ICA) maximizes the statistical independence of the representational components of a training image ensemble, but it cannot distinguish between the...
M. Alex O. Vasilescu, Demetri Terzopoulos
IWC
2008
99views more  IWC 2008»
13 years 8 months ago
Pedagogy and usability in interactive algorithm visualizations: Designing and evaluating CIspace
Interactive algorithm visualizations (AVs) are powerful tools for teaching and learning concepts that are difficult to describe with static media alone. However, while countless A...
Saleema Amershi, Giuseppe Carenini, Cristina Conat...
CEAS
2007
Springer
14 years 2 months ago
Discovering Leadership Roles in Email Workgroups
Email is a key communication tool for collaborative workgroups. In this paper, we investigate how team leadership roles can be inferred from a collection of email messages exchang...
Vitor R. Carvalho, Wen Wu, William W. Cohen