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CVPR
2011
IEEE
13 years 4 months ago
Adaptive Random Forest - How many ``experts'' to ask before making a decision?
How many people should you ask if you are not sure about your way? We provide an answer to this question for Random Forest classification. The presented method is based on the st...
Alexander Schwing, Christopher Zach, Yefeng Zheng,...
TVLSI
2010
13 years 7 months ago
Test Data Compression Using Efficient Bitmask and Dictionary Selection Methods
Abstract--Higher circuit densities in system-on-chip (SOC) designs have led to drastic increase in test data volume. Larger test data size demands not only higher memory requiremen...
Kanad Basu, Prabhat Mishra
JCIT
2010
190views more  JCIT 2010»
13 years 7 months ago
Application of Feature Extraction Method in Customer Churn Prediction Based on Random Forest and Transduction
With the development of telecom business, customer churn prediction becomes more and more important. An outstanding issue in customer churn prediction is high dimensional problem....
Yihui Qiu, Hong Li
COLING
2010
13 years 7 months ago
Adaptive Development Data Selection for Log-linear Model in Statistical Machine Translation
This paper addresses the problem of dynamic model parameter selection for loglinear model based statistical machine translation (SMT) systems. In this work, we propose a principle...
Mu Li, Yinggong Zhao, Dongdong Zhang, Ming Zhou
CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 9 months ago
Evolutionary Approach to Test Generation for Functional BIST
In the paper, an evolutionary approach to test generation for functional BIST is considered. The aim of the proposed scheme is to minimize the test data volume by allowing the dev...
Y. A. Skobtsov, D. E. Ivanov, V. Y. Skobtsov, Raim...
EMNLP
2009
13 years 10 months ago
Model Adaptation via Model Interpolation and Boosting for Web Search Ranking
This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
Jianfeng Gao, Qiang Wu, Chris Burges, Krysta Marie...
PTS
2010
175views Hardware» more  PTS 2010»
13 years 10 months ago
Test Data Generation for Programs with Quantified First-Order Logic Specifications
We present a novel algorithm for test data generation that is based on techniques used in formal software verification. Prominent examples of such formal techniques are symbolic ex...
Christoph Gladisch
TC
2002
14 years 2 days ago
Test Bus Sizing for System-on-a-Chip
Vikram Iyengar, Krishnendu Chakrabarty
STVR
2002
111views more  STVR 2002»
14 years 2 days ago
Can fault-exposure-potential estimates improve the fault detection abilities of test suites?
Code-coverage-based test data adequacy criteria typically treat all coverable code elements (such as statements, basic blocks, or outcomes of decisions) as equal. In practice, how...
Wei Chen, Roland H. Untch, Gregg Rothermel, Sebast...