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IJCNN
2008
IEEE
15 years 11 months ago
Active Meta-Learning with Uncertainty Sampling and Outlier Detection
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
AIRS
2008
Springer
15 years 11 months ago
Active Learning for Online Spam Filtering
Spam filtering is defined as a task trying to label emails with spam or ham in an online situation. The online feature requires the spam filter has a strong timely generalization a...
Wuying Liu, Ting Wang
MM
2004
ACM
151views Multimedia» more  MM 2004»
15 years 10 months ago
Multimodal concept-dependent active learning for image retrieval
It has been established that active learning is effective for learning complex, subjective query concepts for image retrieval. However, active learning has been applied in a conc...
Kingshy Goh, Edward Y. Chang, Wei-Cheng Lai
DFT
2003
IEEE
120views VLSI» more  DFT 2003»
15 years 10 months ago
Implementation and Testing of Fault-Tolerant Photodiode-Based Active Pixel Sensor (APS)
The implementation of imaging arrays for System-On-a-Chip (SOC) is aided by using faulttolerant light sensors. Fault-tolerant redundancy in an Active Pixel Sensor (APS) is obtaine...
Sunjaya Djaja, Glenn H. Chapman, Desmond Y. H. Che...
HICSS
1999
IEEE
125views Biometrics» more  HICSS 1999»
15 years 9 months ago
ASHRAM: Active Summarization and Markup
Typically, searching for information in a document collection amounts to refining a query and then scanning a large number of documents to determine their relevance. Active Summar...
Mary S. Neff, James W. Cooper