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» Recoding Error-Correcting Output Codes
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ML
2007
ACM
153views Machine Learning» more  ML 2007»
13 years 4 months ago
Multi-Class Learning by Smoothed Boosting
AdaBoost.OC has been shown to be an effective method in boosting “weak” binary classifiers for multi-class learning. It employs the Error-Correcting Output Code (ECOC) method ...
Rong Jin, Jian Zhang 0003
CNSR
2005
IEEE
105views Communications» more  CNSR 2005»
13 years 10 months ago
A New Analytic Approach to Evaluation of Packet Error Rate in Wireless Networks
Bit Error Rate (BER) and Packet Error Rate (PER) are important Quality of Service Parameters for Wireless network. Most of researches in QoS have been devoted to the analysis of B...
Ramin Khalili, Kavé Salamatian
SMC
2007
IEEE
156views Control Systems» more  SMC 2007»
13 years 11 months ago
Dynamic fusion of classifiers for fault diagnosis
—This paper considers the problem of temporally fusing classifier outputs to improve the overall diagnostic classification accuracy in safety-critical systems. Here, we discuss d...
Satnam Singh, Kihoon Choi, Anuradha Kodali, Krishn...
DAC
2003
ACM
14 years 5 months ago
A survey of techniques for energy efficient on-chip communication
Interconnects have been shown to be a dominant source of energy consumption in modern day System-on-Chip (SoC) designs. With a large (and growing) number of electronic systems bei...
Vijay Raghunathan, Mani B. Srivastava, Rajesh K. G...
ICML
2002
IEEE
14 years 5 months ago
Combining Labeled and Unlabeled Data for MultiClass Text Categorization
Supervised learning techniques for text classi cation often require a large number of labeled examples to learn accurately. One way to reduce the amountoflabeled datarequired is t...
Rayid Ghani