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» Multiple Comparisons in Induction Algorithms
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AAAI
2000
15 years 1 months ago
Selective Sampling with Redundant Views
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
Ion Muslea, Steven Minton, Craig A. Knoblock
ACST
2006
15 years 1 months ago
A combinatorial group testing method for FPGA fault location
Adaptive fault isolation methods based on discrepancyenabled pairwise comparisons are developed for reconfigurable logic devices. By observing the discrepancy characteristics of m...
Carthik A. Sharma, Ronald F. DeMara
PAKDD
2007
ACM
143views Data Mining» more  PAKDD 2007»
15 years 6 months ago
Clustering Ensembles Based on Normalized Edges
The co-association (CA) matrix was previously introduced to combine multiple partitions. In this paper, we analyze the CA matrix, and address its difference from the similarity ma...
Yan Li, Jian Yu, Pengwei Hao, Zhulin Li
ML
2000
ACM
154views Machine Learning» more  ML 2000»
14 years 11 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb
ICRA
2008
IEEE
400views Robotics» more  ICRA 2008»
15 years 6 months ago
Navigation of an omni-directional mobile robot with active caster wheels
—This work deals with navigation of an omni-directional mobile robot with active caster wheels. Initially, the posture of the omni-directional mobile robot is calculated by using...
Eui-Jung Jung, Ho Yul Lee, Jae Hoon Lee, Byung-Ju ...