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IJON
2010
109views more  IJON 2010»
14 years 11 months ago
Variational inference for Student-t MLP models
This paper presents a novel methodology to infer parameters of probabilistic models whose output noise is a Student-t distribution. The method is an extension of earlier work for ...
Hang T. Nguyen, Ian T. Nabney
CVPR
2010
IEEE
15 years 7 months ago
A Study on Continuous Max-Flow and Min-Cut Approaches
Abstract. This work addresses a class of total-variation based multilabeling problems over a spatially continuous image domain, where the data fidelity term can be any bounded fun...
Jing Yuan, Egil Bae, Xuecheng Tai
JMLR
2008
230views more  JMLR 2008»
15 years 4 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
15 years 10 months ago
Multi-level genetic algorithm (MLGA) for the construction of clock binary tree
The clock signal and clock skew become more and more important for the circuit performance. Since there are salient shortcomings in the conventional topology construction algorith...
Guofang Nan, Minqiang Li, Jisong Kou
WSC
2004
15 years 5 months ago
Simulating Growth Dynamics in Complex Adaptive Supply Networks
This paper discusses an extended adaptive supply network simulation model that explicitly captures growth (in terms of change in size over time, and birth and death) based on Utte...
Surya Dev Pathak, David M. Dilts, Gautam Biswas