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DAC
1999
ACM
14 years 8 months ago
LISA - Machine Description Language for Cycle-Accurate Models of Programmable DSP Architectures
Abstract { This paper presents the machine description language LISA for the generation of bitand cycle accurate models of DSP processors. Based on a behavioral operation descripti...
Stefan Pees, Andreas Hoffmann, Vojin Zivojnovic, H...
ICANN
2009
Springer
14 years 2 months ago
Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction
Abstract. In this paper, we investigate the application of adaptive ensemble models of Extreme Learning Machines (ELMs) to the problem of one-step ahead prediction in (non)stationa...
Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutil...
ICANN
2005
Springer
14 years 1 months ago
Training of Support Vector Machines with Mahalanobis Kernels
Abstract. Radial basis function (RBF) kernels are widely used for support vector machines. But for model selection, we need to optimize the kernel parameter and the margin paramete...
Shigeo Abe
PRICAI
2004
Springer
14 years 1 months ago
Prediction of the Risk Types of Human Papillomaviruses by Support Vector Machines
Abstract. Infection by high-risk human papillomaviruses (HPVs) is associated with the development of cervical cancers. Classification of risk types is important to understand the ...
Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang
ICANN
2001
Springer
14 years 4 days ago
Incremental Support Vector Machine Learning: A Local Approach
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
Liva Ralaivola, Florence d'Alché-Buc