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» Analyzing the Errors of Unsupervised Learning
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80
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ICASSP
2010
IEEE
14 years 10 months ago
Acoustic model adaptation via Linear Spline Interpolation for robust speech recognition
We recently proposed a new algorithm to perform acoustic model adaptation to noisy environments called Linear Spline Interpolation (LSI). In this method, the nonlinear relationshi...
Michael L. Seltzer, Alex Acero, Kaustubh Kalgaonka...
76
Voted
IADIS
2008
14 years 11 months ago
e-Learning Courseware Effort Estimate Model
This paper presents an improved software estimation model, which uses to estimate developing effort of e-Learning's contents. This model is called the e-Learning courseware E...
Vajirasak Vanijja, Athitha Chokananratana
MIR
2005
ACM
129views Multimedia» more  MIR 2005»
15 years 3 months ago
Multi-graph enabled active learning for multimodal web image retrieval
In this paper, we propose a multimodal Web image retrieval technique based on multi-graph enabled active learning. The main goal is to leverage the heterogeneous data on the Web t...
Xin-Jing Wang, Wei-Ying Ma, Lei Zhang, Xing Li
79
Voted
ECML
2007
Springer
15 years 3 months ago
On Phase Transitions in Learning Sparse Networks
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ron...
ICML
2004
IEEE
15 years 10 months ago
A Monte Carlo analysis of ensemble classification
In this paper we extend previous results providing a theoretical analysis of a new Monte Carlo ensemble classifier. The framework allows us to characterize the conditions under wh...
Roberto Esposito, Lorenza Saitta