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» An Experimental Study on Feature Subset Selection Methods
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SIGSOFT
2004
ACM
16 years 5 months ago
Scaling regression testing to large software systems
When software is modified, during development and maintenance, it is regression tested to provide confidence that the changes did not introduce unexpected errors and that new feat...
Alessandro Orso, Nanjuan Shi, Mary Jean Harrold
BMCBI
2008
87views more  BMCBI 2008»
15 years 4 months ago
Identification of deleterious non-synonymous single nucleotide polymorphisms using sequence-derived information
Background: As the number of non-synonymous single nucleotide polymorphisms (nsSNPs), also known as single amino acid polymorphisms (SAPs), increases rapidly, computational method...
Jing Hu, Changhui Yan
AAAI
2010
15 years 5 months ago
Myopic Policies for Budgeted Optimization with Constrained Experiments
Motivated by a real-world problem, we study a novel budgeted optimization problem where the goal is to optimize an unknown function f(x) given a budget. In our setting, it is not ...
Javad Azimi, Xiaoli Fern, Alan Fern, Elizabeth Bur...
JCP
2008
167views more  JCP 2008»
15 years 4 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao
EMNLP
2006
15 years 5 months ago
Better Informed Training of Latent Syntactic Features
We study unsupervised methods for learning refinements of the nonterminals in a treebank. Following Matsuzaki et al. (2005) and Prescher (2005), we may for example split NP withou...
Markus Dreyer, Jason Eisner