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IJCNN
2006
IEEE

165views Neural Networks» more IJCNN 2006»

Improving the Convergence of Backpropagation by Opposite Transfer Functions

14 years 11 days ago

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—The backpropagation algorithm is a very popular approach to learning in feed-forward multi-layer perceptron networks. However, in many scenarios the time required to adequately ...

Mario Ventresca, Hamid R. Tizhoosh

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ATAL
2005
Springer

181views Intelligent Agents» more ATAL 2005»

Improving reinforcement learning function approximators via neuroevolution

13 years 12 months ago

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Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...

Shimon Whiteson

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ACL
2009

123views Computational Linguistics» more ACL 2009»

Improving Automatic Speech Recognition for Lectures through Transformation-based Rules Learned from Minimal Data

13 years 4 months ago

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We demonstrate that transformation-based learning can be used to correct noisy speech recognition transcripts in the lecture domain with an average word error rate reduction of 12...

Cosmin Munteanu, Gerald Penn, Xiaodan Zhu

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PSB
2008

153views Applied Computing» more PSB 2008»

Combining Molecular Dynamics and Machine Learning to Improve Protein Function Recognition

13 years 7 months ago

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Dariya S. Glazer, Randall J. Radmer, Russ B. Altma...

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