暂无分享,去创建一个
[1] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[2] R. Lewontin. ‘The Selfish Gene’ , 1977, Nature.
[3] Geoffrey E. Hinton,et al. A Learning Algorithm for Boltzmann Machines , 1985, Cogn. Sci..
[4] A. Yao. Separating the polynomial-time hierarchy by oracles , 1985 .
[5] Johan Håstad,et al. Almost optimal lower bounds for small depth circuits , 1986, STOC '86.
[6] James L. McClelland,et al. Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .
[7] Geoffrey E. Hinton,et al. How Learning Can Guide Evolution , 1996, Complex Syst..
[8] Geoffrey E. Hinton,et al. Learning distributed representations of concepts. , 1989 .
[9] Geoffrey E. Hinton. Connectionist Learning Procedures , 1989, Artif. Intell..
[10] Johan Håstad,et al. On the power of small-depth threshold circuits , 1990, Proceedings [1990] 31st Annual Symposium on Foundations of Computer Science.
[11] Elan Moritz. Memetic Science: I-General Introduction , 1990 .
[12] J. Elman. Learning and development in neural networks: the importance of starting small , 1993, Cognition.
[13] G. Kane. Parallel Distributed Processing: Explorations in the Microstructure of Cognition, vol 1: Foundations, vol 2: Psychological and Biological Models , 1994 .
[14] Michael A. Arbib,et al. The handbook of brain theory and neural networks , 1995, A Bradford book.
[15] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[16] Thorsten Joachims,et al. Transductive Inference for Text Classification using Support Vector Machines , 1999, ICML.
[17] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[18] E. Hutchins,et al. Chapter 10 Auto-Organisation and Emergence of Shared Language Structure , 2002 .
[19] Léon Bottou,et al. Stochastic Learning , 2003, Advanced Lectures on Machine Learning.
[20] G. Peterson. A day of great illumination: B. F. Skinner's discovery of shaping. , 2004, Journal of the experimental analysis of behavior.
[21] Alan L. Yuille,et al. The Convergence of Contrastive Divergences , 2004, NIPS.
[22] H. Terrace,et al. Cognitive Imitation in Rhesus Macaques , 2004, Science.
[23] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[24] Miguel Á. Carreira-Perpiñán,et al. On Contrastive Divergence Learning , 2005, AISTATS.
[25] Brian Hazlehurst,et al. How to invent a lexicon: the development of shared symbols in interaction , 2006 .
[26] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[27] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[28] Marc'Aurelio Ranzato,et al. Efficient Learning of Sparse Representations with an Energy-Based Model , 2006, NIPS.
[29] P. Stewart. The selfish meme , 2006 .
[30] Thomas Hofmann,et al. Greedy Layer-Wise Training of Deep Networks , 2007 .
[31] Yoshua Bengio,et al. Scaling learning algorithms towards AI , 2007 .
[32] Rajat Raina,et al. Self-taught learning: transfer learning from unlabeled data , 2007, ICML '07.
[33] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..
[34] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[35] Yoshua Bengio,et al. Exploring Strategies for Training Deep Neural Networks , 2009, J. Mach. Learn. Res..
[36] Honglak Lee,et al. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations , 2009, ICML '09.
[37] Yann LeCun,et al. What is the best multi-stage architecture for object recognition? , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[38] Geoffrey E. Hinton,et al. Deep Boltzmann Machines , 2009, AISTATS.
[39] Jason Weston,et al. Curriculum learning , 2009, ICML '09.
[40] Kai A. Krueger,et al. Flexible shaping: How learning in small steps helps , 2009, Cognition.
[41] Hugo Larochelle,et al. Efficient Learning of Deep Boltzmann Machines , 2010, AISTATS.
[42] James Martens,et al. Deep learning via Hessian-free optimization , 2010, ICML.
[43] Yoshua Bengio,et al. DECISION TREES DO NOT GENERALIZE TO NEW VARIATIONS , 2010, Comput. Intell..
[44] P. Mcfedries,et al. The Selfish Meme: Introduction , 2004 .
[45] Yoshua Bengio,et al. On the Expressive Power of Deep Architectures , 2011, ALT.
[46] Bilge Mutlu,et al. How Do Humans Teach: On Curriculum Learning and Teaching Dimension , 2011, NIPS.
[47] Hossein Mobahi,et al. Deep Learning via Semi-supervised Embedding , 2012, Neural Networks: Tricks of the Trade.
[48] Peter Glöckner,et al. Why Does Unsupervised Pre-training Help Deep Learning? , 2013 .