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» Challenges in Evaluating Distributed Algorithms
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AUSAI
2008
Springer
15 years 6 months ago
Cross-Domain Knowledge Transfer Using Semi-supervised Classification
Traditional text classification algorithms are based on a basic assumption: the training and test data should hold the same distribution. However, this identical distribution assum...
Yi Zhen, Chunping Li
UAI
2001
15 years 5 months ago
Aggregating Learned Probabilistic Beliefs
We consider the task of aggregating beliefs of several experts. We assume that these beliefs are represented as probability distributions. We argue that the evaluation of any aggr...
Pedrito Maynard-Reid II, Urszula Chajewska
CCS
2006
ACM
15 years 8 months ago
Safety and consistency in policy-based authorization systems
In trust negotiation and other distributed proving systems, networked entities cooperate to form proofs that are justified by collections of certified attributes. These attributes...
Adam J. Lee, Marianne Winslett
ICCV
2009
IEEE
16 years 9 months ago
Level Set Segmentation with Both Shape and Intensity Priors
We present a new variational level-set-based segmentation formulation that uses both shape and intensity prior information learned from a training set. By applying Bayes’ rule...
Siqi Chen and Richard J. Radke
KDD
2007
ACM
206views Data Mining» more  KDD 2007»
16 years 4 months ago
Automatic labeling of multinomial topic models
Multinomial distributions over words are frequently used to model topics in text collections. A common, major challenge in applying all such topic models to any text mining proble...
Qiaozhu Mei, Xuehua Shen, ChengXiang Zhai