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BMCBI
2006
152views more  BMCBI 2006»
14 years 9 months ago
Predicting deleterious nsSNPs: an analysis of sequence and structural attributes
Background: There has been an explosion in the number of single nucleotide polymorphisms (SNPs) within public databases. In this study we focused on non-synonymous protein coding ...
Richard J. B. Dobson, Patricia B. Munroe, Mark J. ...
JMLR
2006
140views more  JMLR 2006»
14 years 9 months ago
Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
Masashi Sugiyama
VLSISP
2008
95views more  VLSISP 2008»
14 years 9 months ago
Design of an H.264/AVC Decoder with Memory Hierarchy and Line-Pixel-Lookahead
This paper describes a novel memory hierarchy and line-pixel-lookahead (LPL) for an H.264/AVC video decoder. The memory system is the bottleneck of most video processors, particula...
Tsu-Ming Liu, Chen-Yi Lee
JMLR
2010
158views more  JMLR 2010»
14 years 4 months ago
Restricted Eigenvalue Properties for Correlated Gaussian Designs
Methods based on 1-relaxation, such as basis pursuit and the Lasso, are very popular for sparse regression in high dimensions. The conditions for success of these methods are now ...
Garvesh Raskutti, Martin J. Wainwright, Bin Yu
AAAI
2012
13 years 2 days ago
Online Kernel Selection: Algorithms and Evaluations
Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being...
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Y...