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» An Empirical Study of Regression Test Selection Techniques
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ICCV
2005
IEEE
14 years 2 months ago
Image Based Regression Using Boosting Method
We present a general algorithm of image based regression that is applicable to many vision problems. The proposed regressor that targets a multiple-output setting is learned using...
Shaohua Kevin Zhou, Bogdan Georgescu, Xiang Sean Z...
ACL
1998
13 years 10 months ago
Automated Scoring Using A Hybrid Feature Identification Technique
This study exploits statistical redundancy inherent in natural language to automatically predict scores for essays. We use a hybrid feature identification method, including syntac...
Jill Burstein, Karen Kukich, Susanne Wolff, Chi Lu...
ICTAC
2010
Springer
13 years 7 months ago
Scalable Distributed Concolic Testing: A Case Study on a Flash Storage Platform
Flash memory has become a virtually indispensable component for mobile devices in today’s information society. However, conventional testing methods often fail to detect hidden b...
Yunho Kim, Moonzoo Kim, Nam Dang
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
13 years 7 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
AUSDM
2007
Springer
100views Data Mining» more  AUSDM 2007»
14 years 3 months ago
Predictive Model of Insolvency Risk for Australian Corporations
This paper describes the development of a predictive model for corporate insolvency risk in Australia. The model building methodology is empirical with out-ofsample future year te...
Rohan A. Baxter, Mark Gawler, Russell Ang