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» Informative Discriminant Analysis
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146
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ISSTA
2009
ACM
15 years 10 months ago
Identifying bug signatures using discriminative graph mining
Bug localization has attracted a lot of attention recently. Most existing methods focus on pinpointing a single statement or function call which is very likely to contain bugs. Al...
Hong Cheng, David Lo, Yang Zhou, Xiaoyin Wang, Xif...
128
Voted
BMCBI
2008
108views more  BMCBI 2008»
15 years 3 months ago
Signature Evaluation Tool (SET): a Java-based tool to evaluate and visualize the sample discrimination abilities of gene express
Background: The identification of specific gene expression signature for distinguishing sample groups is a dominant field in cancer research. Although a number of tools have been ...
Chih-Hung Jen, Tsun-Po Yang, Chien-Yi Tung, Shu-Ha...
137
Voted
TIP
2010
97views more  TIP 2010»
14 years 10 months ago
Image Clustering Using Local Discriminant Models and Global Integration
In this paper, we propose a new image clustering algorithm, referred to as Clustering using Local Discriminant Models and Global Integration (LDMGI). To deal with the data points s...
Yi Yang, Dong Xu, Feiping Nie, Shuicheng Yan, Yuet...
123
Voted
SIGIR
2009
ACM
15 years 10 months ago
Entropy-biased models for query representation on the click graph
Query log analysis has received substantial attention in recent years, in which the click graph is an important technique for describing the relationship between queries and URLs....
Hongbo Deng, Irwin King, Michael R. Lyu
151
Voted
COLING
2010
14 years 10 months ago
Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets
An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason E...