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ICONIP
1998
15 years 7 months ago
ECOS: Evolving Connectionist Systems and the ECO Learning Paradigm
The paper presents a framework called ECOS for Evolving COnnectionist Systems. ECOS evolve through incremental learning. They can accommodate any new input data, including new fea...
Nikola K. Kasabov
JMLR
2008
110views more  JMLR 2008»
15 years 6 months ago
Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers
Support vector machine (SVM) is one of the most popular and promising classification algorithms. After a classification rule is constructed via the SVM, it is essential to evaluat...
Bo Jiang, Xuegong Zhang, Tianxi Cai
TCAD
1998
83views more  TCAD 1998»
15 years 6 months ago
Telescopic units: a new paradigm for performance optimization of VLSI designs
—This paper introduces a novel optimization paradigm for increasing the throughput of digital systems. The basic idea consists of transforming fixed-latency units into variable-...
Luca Benini, Enrico Macii, Massimo Poncino, Giovan...
TASLP
2002
124views more  TASLP 2002»
15 years 6 months ago
Automatic speech recognition performance on a voicemail transcription task
Abstract--In this paper, we report on the performance of automatic speech recognition (ASR) systems on voicemail transcription. Voicemail is spontaneous telephone speech recorded o...
Mukund Padmanabhan, George Saon, Jing Huang, Brian...
NECO
2007
95views more  NECO 2007»
15 years 6 months ago
Support Vector Ordinal Regression
In this paper, we propose two new support vector approaches for ordinal regression, which optimize multiple thresholds to define parallel discriminant hyperplanes for the ordinal...
Wei Chu, S. Sathiya Keerthi