최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기정보과학회. 컴퓨팅의 실제 논문지 = KIISE transactions on computing practices, v.22 no.11, 2016년, pp.614 - 618
허민오 (서울대학교 컴퓨터공학부) , 장병탁 (서울대학교 컴퓨터공학부)
As information on the internet and the data from smart devices are growing, the amount of stream data is also increasing in the real world. The stream data, which is a potentially large data, requires online learnable models and algorithms. In this paper, we propose a novel class of models: predicti...
N. D. Lane, E. Miluzzo, H. Lu, D. Peebles, T. Choudhury, and A. T. Campbell, A Survey of Mobile Phone Sensing, IEEE Communications Magazine, Vol. 48, No. 9, pp. 140-150, 2010.
Simon Haykin, Neural Networks and Learning Machine, Prentice Hall, 2009.
D. Barber, T. Cemgil, and S. Chiappa, Bayesian Time Series Models, Cambridge University Press, 2011.
S. Shalev-Shwartz, Online Learning and Online Convex Optimization, Foundations and $Trends^{(R)}$ in Machine Learning, Vol. 4, No. 2, pp. 107-194, 2012.
G. Widmer and M. Kurat, Learning in the Presence of Concept Drift and Hidden Contexts, Machine Learning, Vol. 23, pp. 69-101, 1996.
I. Zliobaite, Learning under Concept Drift: an Overview, Technical Report, Faculty of Mathematics and Informatics, Vilnius University, 2009.
Y. LeCun, L. Bottou, Y. Bengio, & P. Haffner, Gradient-based learning applied to document recognition, Proc, of the IEEE, 86(11), 2278-2324, 1998.
Lee, Honglak, et al. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations, Proc. of the 26th Annual International Conference on Machine Learning (ICML), 2009.
Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. Imagenet classification with deep convolutional neural networks, The Twenty-sixth Annual Conference on neural information processing systems (NIPS 2012), 2012.
J. Masci, et al. Stacked convolutional auto-encoders for hierarchical feature extraction, Artificial Neural Networks and Machine Learning (ICANN 2011), 52-59, Springer Berlin Heidelberg, 2011.
A. Makhzani and B. Frey, k-Sparse Autoencoders, Proc. of the 2nd International Conference on Learning Representations (ICLR 2014), 2014.
A. Makhzani and B. Frey, Winner-Take-All Autoencoders, The Twenty-ninth Annual Conference on neural information processing systems (NIPS 2015), 2015.
M.-O. Heo, M. Kang, B.-K. Lim, K.-B. Hwang, Y.-T., Park, and B.-T. Zhang, Real-time route inference and learning for smartphone users using probabilistic graphical models, Journal of the Korea Information Science Society: Software and Applications, 39(6):425-435, 2012.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.