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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
14 years 8 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
DAS
2008
Springer
13 years 9 months ago
Towards Whole-Book Recognition
We describe experimental results for unsupervised recognition of the textual contents of book-images using fully automatic mutual-entropy-based model adaptation. Each experiment s...
Pingping Xiu, Henry S. Baird
PAMI
2006
186views more  PAMI 2006»
13 years 7 months ago
Performance Evaluation of Fingerprint Verification Systems
This paper is concerned with the performance evaluation of fingerprint verification systems. After an initial classification of biometric testing initiatives, we explore both the t...
Raffaele Cappelli, Dario Maio, Davide Maltoni, Jam...
POPL
2007
ACM
14 years 8 months ago
Dynamic heap type inference for program understanding and debugging
C programs can be difficult to debug due to lax type enforcement and low-level access to memory. We present a dynamic analysis for C that checks heap snapshots for consistency wit...
Ben Liblit, Chloë W. Schulze, Marina Polishch...
CIKM
2010
Springer
13 years 5 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan