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SDM
2007
SIAM
162views Data Mining» more  SDM 2007»
15 years 13 days ago
Probabilistic Joint Feature Selection for Multi-task Learning
We study the joint feature selection problem when learning multiple related classification or regression tasks. By imposing an automatic relevance determination prior on the hypo...
Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherk...
VMV
2003
152views Visualization» more  VMV 2003»
15 years 11 days ago
Bone Segmentation in CT Angiography Data Using a Probabilistic Atlas
Automatic segmentation of bony structures in CT angiography datasets is an essential pre-processing step necessary for most visualization and analysis tasks. Since traditional den...
Matús Straka, Alexandra La Cruz, Arnold K&o...
UAI
1996
15 years 10 days ago
An evaluation of structural parameters for probabilistic reasoning: Results on benchmark circuits
Many algorithms for processing probabilistic networks are dependent on the topological properties of the problem's structure. Such algorithmse.g., clustering, conditioning ar...
Yousri El Fattah, Rina Dechter
BIOCOMP
2008
15 years 4 days ago
Improved Segmentation Based on Probabilistic Labeling
⎯This paper presents an improved multi-object segmentation algorithm based on probabilistic labeling. First, a critical look is focused on utilizing vector calculus operator and ...
Kai-Chieh Yang, Ming-Chi Jhuang, Chun-Shun Tseng, ...
TSP
2008
132views more  TSP 2008»
14 years 11 months ago
Robust Intervention in Probabilistic Boolean Networks
Probabilistic Boolean networks (PBNs) have been recently introduced as a paradigm for modeling genetic regulatory networks. One of the objectives of PBN modeling is to use the netw...
Ranadip Pal, Aniruddha Datta, Edward R. Dougherty