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» Learning and Generalization with the Information Bottleneck
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GECCO
2010
Springer
186views Optimization» more  GECCO 2010»
14 years 11 months ago
Genetic rule extraction optimizing brier score
Most highly accurate predictive modeling techniques produce opaque models. When comprehensible models are required, rule extraction is sometimes used to generate a transparent mod...
Ulf Johansson, Rikard König, Lars Niklasson
IJCV
2008
223views more  IJCV 2008»
14 years 10 months ago
Robust Object Detection with Interleaved Categorization and Segmentation
This paper presents a novel method for detecting and localizing objects of a visual category in cluttered real-world scenes. Our approach considers object categorization and figure...
Bastian Leibe, Ales Leonardis, Bernt Schiele
GIS
2010
ACM
14 years 8 months ago
Location disambiguation in local searches using gradient boosted decision trees
Local search is a specialization of the web search that allows users to submit geographically constrained queries. However, one of the challenges for local search engines is to un...
Ritesh Agrawal, James G. Shanahan
SIGCSE
2012
ACM
284views Education» more  SIGCSE 2012»
13 years 5 months ago
Teaching operating systems using android
The computing landscape is shifting towards mobile devices. To learn about operating systems, it is increasingly important for students to gain hands-on kernel programming experie...
Jeremy Andrus, Jason Nieh
WSDM
2012
ACM
296views Data Mining» more  WSDM 2012»
13 years 5 months ago
Inferring social ties across heterogenous networks
It is well known that different types of social ties have essentially different influence between people. However, users in online social networks rarely categorize their contact...
Jie Tang, Tiancheng Lou, Jon M. Kleinberg