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» Gaussian Processes in Machine Learning
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113
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CORR
2010
Springer
121views Education» more  CORR 2010»
14 years 7 months ago
Deep Self-Taught Learning for Handwritten Character Recognition
Recent theoretical and empirical work in statistical machine learning has demonstrated the importance of learning algorithms for deep architectures, i.e., function classes obtaine...
Frédéric Bastien, Yoshua Bengio, Arn...
139
Voted
BMCBI
2008
149views more  BMCBI 2008»
15 years 22 days ago
All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning
Background: Automated extraction of protein-protein interactions (PPI) is an important and widely studied task in biomedical text mining. We propose a graph kernel based approach ...
Antti Airola, Sampo Pyysalo, Jari Björne, Tap...
124
Voted
JNCA
2011
126views more  JNCA 2011»
14 years 7 months ago
Coordinated session-based admission control with statistical learning for multi-tier internet applications
Popular Internet applications deploy a multi-tier architecture, with each tier provisioning a certain functionality to its preceding tier. In this paper, we address the challengin...
Sireesha Muppala, Xiaobo Zhou
124
Voted
BMCBI
2007
157views more  BMCBI 2007»
15 years 19 days ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
185
Voted
POPL
2002
ACM
16 years 28 days ago
Mining specifications
Program verification is a promising approach to improving program quality, because it can search all possible program executions for specific errors. However, the need to formally...
Glenn Ammons, James R. Larus, Rastislav Bodí...