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JMLR
2012
11 years 11 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
DAC
2007
ACM
14 years 9 months ago
A New Twisted Differential Line Structure in Global Bus Design
Twisted differential line structure can effectively reduce crosstalk noise on global bus, which foresees a wide applicability. However, measured performance based on fabricated ci...
Zhanyuan Jiang, Shiyan Hu, Weiping Shi
TPHOL
2005
IEEE
14 years 2 months ago
A HOL Theory of Euclidean Space
We describe a formalization of the elementary algebra, topology and analysis of finite-dimensional Euclidean space in the HOL Light theorem prover. (Euclidean space is RN with the...
John Harrison
CIKM
2009
Springer
14 years 22 days ago
Improving binary classification on text problems using differential word features
We describe an efficient technique to weigh word-based features in binary classification tasks and show that it significantly improves classification accuracy on a range of proble...
Justin Martineau, Tim Finin, Anupam Joshi, Shamit ...
AMC
2010
175views more  AMC 2010»
13 years 9 months ago
An inexact parallel splitting augmented Lagrangian method for large system of linear equations
: Parallel iterative methods are powerful tool for solving large system of linear equations (LEs). The existing parallel computing research results are focussed mainly on sparse sy...
Zheng Peng, DongHua Wu