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» Improved Results on Geometric Hitting Set Problems
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CTW
2007
121views more  CTW 2007»
13 years 9 months ago
Regularly irregular: how groups reconcile cross-cutting agendas and demand in healthcare
Abstract The flow of technical work in acute healthcare varies unpredictably, in patterns that occur regularly enough that they can be managed. Acute care organizations develop wa...
Christopher P. Nemeth, Mark Nunnally, Michael F. O...
ML
1998
ACM
131views Machine Learning» more  ML 1998»
13 years 8 months ago
Learning from Examples and Membership Queries with Structured Determinations
It is well known that prior knowledge or bias can speed up learning, at least in theory. It has proved di cult to make constructive use of prior knowledge, so that approximately c...
Prasad Tadepalli, Stuart J. Russell
ICIP
2010
IEEE
13 years 7 months ago
Building Emerging Pattern (EP) Random forest for recognition
The Random forest classifier comes to be the working horse for visual recognition community. It predicts the class label of an input data by aggregating the votes of multiple tree...
Liang Wang, Yizhou Wang, Debin Zhao
PAKDD
2009
ACM
263views Data Mining» more  PAKDD 2009»
14 years 3 months ago
Spatial Weighting for Bag-of-Visual-Words and Its Application in Content-Based Image Retrieval
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
Xin Chen, Xiaohua Hu, Xiajiong Shen
DIS
2009
Springer
14 years 3 months ago
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Yasser El-Manzalawy, Vasant Honavar