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» Selection of Generative Models in Classification
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AAAI
1998
14 years 11 months ago
Bayesian Reasoning in an Abductive Mechanism for Argument Generation and Analysis
Our argumentation system, NAG, uses Bayesian networks in a user model and in a normative model to assemble and assess arguments which balance persuasiveness with normative correct...
Ingrid Zukerman, Richard McConachy, Kevin B. Korb
BMCBI
2006
110views more  BMCBI 2006»
14 years 9 months ago
Bias in error estimation when using cross-validation for model selection
Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
Sudhir Varma, Richard Simon
ATS
2003
IEEE
105views Hardware» more  ATS 2003»
15 years 3 months ago
Minimizing Defective Part Level Using a Linear Programming-Based Optimal Test Selection Method
Recent probabilistic test generation approaches have proven that detecting single stuck-at faults multiple times is effective at reducing the defective part level (DPL). Unfortuna...
Yuxin Tian, Michael R. Grimaila, Weiping Shi, M. R...
HICSS
2003
IEEE
154views Biometrics» more  HICSS 2003»
15 years 3 months ago
A Framework for Argumentation of Decision Task Generation and Identification
AbstractAbstractAbstract Decision task and its features are defined in order to distinguish motions, decision purposes, decision problems, alternatives, etc. Indicators of decision...
Jingle Sun, Pengzhu Zhang, Shaochuan Cheng
76
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SDM
2008
SIAM
130views Data Mining» more  SDM 2008»
14 years 11 months ago
Mining Sequence Classifiers for Early Prediction
Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. ...