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CIE
2007
Springer
13 years 9 months ago
A Weakly 2-Random Set That Is Not Generalized Low
A guiding question in the study of weak 2-randomness is whether weak 2-randomness is closer to 1-randomness, or closer to 2randomness. Recent research indicates that the first alte...
Andrew Lewis, Antonio Montalbán, Andr&eacut...
ML
2002
ACM
141views Machine Learning» more  ML 2002»
13 years 4 months ago
On the Existence of Linear Weak Learners and Applications to Boosting
We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...
Shie Mannor, Ron Meir
DAC
2003
ACM
13 years 10 months ago
NORM: compact model order reduction of weakly nonlinear systems
This paper presents a compact Nonlinear model Order Reduction Method (NORM) that is applicable for time-invariant and time-varying weakly nonlinear systems. NORM is suitable for r...
Peng Li, Lawrence T. Pileggi
AAAI
2010
13 years 6 months ago
Multi-Label Learning with Weak Label
Multi-label learning deals with data associated with multiple labels simultaneously. Previous work on multi-label learning assumes that for each instance, the "full" lab...
Yu-Yin Sun, Yin Zhang, Zhi-Hua Zhou
CSREASAM
2003
13 years 6 months ago
KDD Feature Set Complaint Heuristic Rules for R2L Attack Detection
Automated rule induction procedures like machine learning and statistical techniques result in rules that lack generalization and maintainability. Developing rules manually throug...
Maheshkumar Sabhnani, Gürsel Serpen