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ICML
2007
IEEE
16 years 5 months ago
Parameter learning for relational Bayesian networks
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
Manfred Jaeger
ICML
2007
IEEE
16 years 5 months ago
Gradient boosting for kernelized output spaces
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
Florence d'Alché-Buc, Louis Wehenkel, Pierr...
ICML
2005
IEEE
16 years 5 months ago
Supervised clustering with support vector machines
Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn ho...
Thomas Finley, Thorsten Joachims
ISBI
2008
IEEE
16 years 5 months ago
AutoMPR: Automatic detection of standard planes in 3D echocardiography
3D echocardiography is one of the emerging real-time imaging modalities that is increasingly used in clinical practice to assess cardiac function. It provides for evaluation a mor...
Xiaoguang Lu, Bogdan Georgescu, Yefeng Zheng, Joan...
VLSID
2002
IEEE
116views VLSI» more  VLSID 2002»
16 years 4 months ago
Register Transfer Operation Analysis during Data Path Verification
A control part ? data path partition based sequential circuit verification scheme aimed at avoiding state explosion comprises two major modules namely, a data path verifier and a ...
D. Sarkar