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89
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ICANN
2001
Springer
15 years 5 months ago
Learning and Prediction of the Nonlinear Dynamics of Biological Neurons with Support Vector Machines
Based on biological data we examine the ability of Support Vector Machines (SVMs) with gaussian kernels to learn and predict the nonlinear dynamics of single biological neurons. We...
Thomas Frontzek, Thomas Navin Lal, Rolf Eckmiller
ICANN
2001
Springer
15 years 5 months 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
80
Voted
ICCD
1992
IEEE
84views Hardware» more  ICCD 1992»
15 years 4 months ago
Synthesis of 3D Asynchronous State Machines
We describe a new synthesis procedure for designing asynchronous controllers from burst-mode specifications, a class of specifications allowing multiple input change fundamental m...
Kenneth Y. Yun, David L. Dill, Steven M. Nowick
84
Voted
LREC
2008
128views Education» more  LREC 2008»
15 years 1 months ago
Automatic Evaluation Measures for Statistical Machine Translation System Optimization
Evaluation of machine translation (MT) output is a challenging task. In most cases, there is no single correct translation. In the extreme case, two translations of the same input...
Arne Mauser, Sasa Hasan, Hermann Ney
98
Voted
EMNLP
2004
15 years 1 months ago
Monolingual Machine Translation for Paraphrase Generation
We apply statistical machine translation (SMT) tools to generate novel paraphrases of input sentences in the same language. The system is trained on large volumes of sentence pair...
Chris Quirk, Chris Brockett, William B. Dolan