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AVBPA
2005
Springer
226views Biometrics» more  AVBPA 2005»
14 years 19 days ago
Discriminant Analysis Based on Kernelized Decision Boundary for Face Recognition
A novel nonlinear discriminant analysis method, Kernelized Decision Boundary Analysis (KDBA), is proposed in our paper, whose Decision Boundary feature vectors are the normal vecto...
Baochang Zhang, Xilin Chen, Wen Gao
APPROX
2008
Springer
245views Algorithms» more  APPROX 2008»
13 years 9 months ago
Approximating Optimal Binary Decision Trees
Abstract. We give a (ln n + 1)-approximation for the decision tree (DT) problem. An instance of DT is a set of m binary tests T = (T1, . . . , Tm) and a set of n items X = (X1, . ....
Micah Adler, Brent Heeringa
PODS
2007
ACM
203views Database» more  PODS 2007»
14 years 7 months ago
Decision trees for entity identification: approximation algorithms and hardness results
We consider the problem of constructing decision trees for entity identification from a given relational table. The input is a table containing information about a set of entities...
Venkatesan T. Chakaravarthy, Vinayaka Pandit, Samb...
GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
13 years 7 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith
ICTAI
2009
IEEE
14 years 1 months ago
Preventing Unwanted Social Inferences with Classification Tree Analysis
A serious threat to user privacy in new mobile and web2.0 applications stems from ‘social inferences’. These unwanted inferences are related to the users’ identity, current ...
Sara Motahari, Sotirios G. Ziavras, Quentin Jones