“New member reading list”版本间的差异
来自cslt Wiki
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*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f1/Deeplearning.pdf Deep learning tutotials, LISA lab, University of Montreal] | *[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f1/Deeplearning.pdf Deep learning tutotials, LISA lab, University of Montreal] | ||
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*[http://192.168.0.51:8887/ml/Deep%20Learning%20-%20methods%20and%20applications.pdf Deep learning, methods and applications, Li Deng, MS] | *[http://192.168.0.51:8887/ml/Deep%20Learning%20-%20methods%20and%20applications.pdf Deep learning, methods and applications, Li Deng, MS] | ||
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*[http://192.168.0.51:8887/ml/introduction%20to%20ML-nilson.pdf Introduction to ML, Nils J. Nilsson, Stanford] | *[http://192.168.0.51:8887/ml/introduction%20to%20ML-nilson.pdf Introduction to ML, Nils J. Nilsson, Stanford] | ||
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*[http://192.168.0.51:8887/ml/introduction%20to%20machine%20learning.pdf Introduction to Machine Learning, Ethem Alpaydın] | *[http://192.168.0.51:8887/ml/introduction%20to%20machine%20learning.pdf Introduction to Machine Learning, Ethem Alpaydın] | ||
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*[http://www.cs.cmu.edu/~tom/mlbook-chapter-slides.html Machine Learning course given by Tom Mitchell] | *[http://www.cs.cmu.edu/~tom/mlbook-chapter-slides.html Machine Learning course given by Tom Mitchell] | ||
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*[http://192.168.0.51:8887/ml/278.%20Neural%20Networks%20-%20A%20Comprehensive%20Foundation%20-%20Simon%20Haykin.pdf Neural Networks, A comprehensive foundation, Simon Haykin] | *[http://192.168.0.51:8887/ml/278.%20Neural%20Networks%20-%20A%20Comprehensive%20Foundation%20-%20Simon%20Haykin.pdf Neural Networks, A comprehensive foundation, Simon Haykin] | ||
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*[http://192.168.0.51:8887/ml/290.%20Numerical%20Optimization.pdf Neumerical optimization, Jorge Nocedal, Stephen J. Wright] | *[http://192.168.0.51:8887/ml/290.%20Numerical%20Optimization.pdf Neumerical optimization, Jorge Nocedal, Stephen J. Wright] | ||
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*[http://192.168.0.51:8887/ml/291.%20Conjugate%20Gradient%20Algorithms%20in%20Nonconvex%20Optimization.pdf Conjugate Gradient Algorithms in Nonconvex Optimization, Radosaw Pytlak] | *[http://192.168.0.51:8887/ml/291.%20Conjugate%20Gradient%20Algorithms%20in%20Nonconvex%20Optimization.pdf Conjugate Gradient Algorithms in Nonconvex Optimization, Radosaw Pytlak] | ||
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*[http://192.168.0.51:8887/ml/Bayesian%20Reasoning%20and%20Machine%20Learning.pdf Bayesian Reasoning and Machine Learning, David Barber] | *[http://192.168.0.51:8887/ml/Bayesian%20Reasoning%20and%20Machine%20Learning.pdf Bayesian Reasoning and Machine Learning, David Barber] | ||
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*[http://192.168.0.51:8887/ml/Machine%20learning%20an%20algorithmic%20perspective%282009%29.pdf Machine Learning, an algorithm perspective, Stephen Marsland] | *[http://192.168.0.51:8887/ml/Machine%20learning%20an%20algorithmic%20perspective%282009%29.pdf Machine Learning, an algorithm perspective, Stephen Marsland] | ||
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*[http://192.168.0.51:8887/ml/Neural%20Networks%20for%20Pattern%20Recognition.pdf Neural Petworks for Pattern Recognition, Christopher M. Bishop] | *[http://192.168.0.51:8887/ml/Neural%20Networks%20for%20Pattern%20Recognition.pdf Neural Petworks for Pattern Recognition, Christopher M. Bishop] | ||
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==Speech Processing== | ==Speech Processing== | ||
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* [http://192.168.0.51:8887/speech/Springer%20handbook%20SP.pdf Spring Handbook of Speech Processing, Ed. Jacob Benesty, M. Mohan Sondhi, Yiteng Huang] | * [http://192.168.0.51:8887/speech/Springer%20handbook%20SP.pdf Spring Handbook of Speech Processing, Ed. Jacob Benesty, M. Mohan Sondhi, Yiteng Huang] | ||
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* [https://www.lrde.epita.fr/~reda/cours/speech/PH%20Spoken%20Language%20Processing%20-%20A%20Guide%20to%20Theory,%20Algorithm%20and%20System%20Development%20(2001)/ Spoken Language Processing, X.D. Huang, ] | * [https://www.lrde.epita.fr/~reda/cours/speech/PH%20Spoken%20Language%20Processing%20-%20A%20Guide%20to%20Theory,%20Algorithm%20and%20System%20Development%20(2001)/ Spoken Language Processing, X.D. Huang, ] | ||
===Acoustics=== | ===Acoustics=== | ||
| − | + | * [http://192.168.0.51:8887/speech/Introduction%20to%20Digital%20Speech%20Processing.pdf Introduction to Digital Signal Processing, Lawrence R. Rabiner and Ronald W. Schafer] | |
* [http://192.168.0.51:8887/speech/acoustics.pdf Foundation of acoustics] | * [http://192.168.0.51:8887/speech/acoustics.pdf Foundation of acoustics] | ||
* [http://192.168.0.51:8887/speech/spring%20topics%20in%20signal%20processing%20-%20microphone%20array%20processing.pdf Spring Topics in Signal Processing, Microphone Array Processing, Benesty, J.; Chen, J.; Huang, Y] | * [http://192.168.0.51:8887/speech/spring%20topics%20in%20signal%20processing%20-%20microphone%20array%20processing.pdf Spring Topics in Signal Processing, Microphone Array Processing, Benesty, J.; Chen, J.; Huang, Y] | ||
2015年2月7日 (六) 01:27的版本
目录
[隐藏]Machine Learning
- Deep learning tutotials, LISA lab, University of Montreal
- Deep learning, methods and applications, Li Deng, MS
- Introduction to ML, Nils J. Nilsson, Stanford
- Introduction to Machine Learning, Ethem Alpaydın
- Machine Learning course given by Tom Mitchell
- Neural Networks, A comprehensive foundation, Simon Haykin
- Neumerical optimization, Jorge Nocedal, Stephen J. Wright
- Conjugate Gradient Algorithms in Nonconvex Optimization, Radosaw Pytlak
- Bayesian Reasoning and Machine Learning, David Barber
- Machine Learning, an algorithm perspective, Stephen Marsland
- Neural Petworks for Pattern Recognition, Christopher M. Bishop
Speech Processing
General
- Spring Handbook of Speech Processing, Ed. Jacob Benesty, M. Mohan Sondhi, Yiteng Huang
- Spoken Language Processing, X.D. Huang,
Acoustics
- Introduction to Digital Signal Processing, Lawrence R. Rabiner and Ronald W. Schafer
- Foundation of acoustics
- Spring Topics in Signal Processing, Microphone Array Processing, Benesty, J.; Chen, J.; Huang, Y
ASR
