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COLING
2008
14 years 11 months ago
Exact Inference for Multi-label Classification using Sparse Graphical Models
This paper describes a parameter estimation method for multi-label classification that does not rely on approximate inference. It is known that multi-label classification involvin...
Yusuke Miyao, Jun-ichi Tsujii
64
Voted
SIAMMAX
2010
111views more  SIAMMAX 2010»
14 years 4 months ago
Stochastic Galerkin Matrices
We investigate the structural, spectral, and sparsity properties of Stochastic Galerkin matrices as they arise in the discretization of linear differential equations with random co...
Oliver G. Ernst, Elisabeth Ullmann
75
Voted
ICPR
2006
IEEE
15 years 10 months ago
Protein Fold Recognition using a Structural Hidden Markov Model
Protein fold recognition has been the focus of computational biologists for many years. In order to map a protein primary structure to its correct 3D fold, we introduce in this pa...
Djamel Bouchaffra, Jun Tan
UAI
2008
14 years 11 months ago
Multi-View Learning over Structured and Non-Identical Outputs
In many machine learning problems, labeled training data is limited but unlabeled data is ample. Some of these problems have instances that can be factored into multiple views, ea...
Kuzman Ganchev, João Graça, John Bli...
72
Voted
ISCAS
2005
IEEE
154views Hardware» more  ISCAS 2005»
15 years 3 months ago
Boost-buck inverter variable structure control for grid-connected photovoltaic systems
—The present work describes the analysis, modeling and control of a transformerless Boost-Buck power inverter used as a DC-AC power conditioning stage for grid-connected photovol...
Carlos Meza, Domingo Biel, Luis Martinez-Salamero,...