Intelligent Techniques for Data Science
暂无分享,去创建一个
[1] Philip S. Yu,et al. Classifying Data Streams with Skewed Class Distributions and Concept Drifts , 2008, IEEE Internet Computing.
[2] Serge Andrianov,et al. Comparison of Regularization Methods for ImageNet Classification with Deep Convolutional Neural Networks , 2014 .
[3] Sanjeev Dhawan,et al. A Framework for Polarity Classification and Emotion Mining from Text , 2014 .
[4] Peter D. Turney. Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews , 2002, ACL.
[5] Javad Rezaie,et al. Reducing the Dimensionality of Geophysical Data in Conjunction with Seismic History Matching , 2012 .
[6] Stan Szpakowicz,et al. Identifying Expressions of Emotion in Text , 2007, TSD.
[7] Rajendra Akerkar,et al. Big Data Computing , 2013 .
[8] W. Pitts,et al. A Logical Calculus of the Ideas Immanent in Nervous Activity (1943) , 2021, Ideas That Created the Future.
[9] Andy Konwinski,et al. Chukwa: A large-scale monitoring system , 2008 .
[10] Lawrence J. Fogel,et al. Artificial Intelligence through Simulated Evolution , 1966 .
[11] J. Leon Zhao,et al. Message Sense Maker: engineering a tool set for customer relationship management , 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.
[12] Yong Yu,et al. A hybrid SARIMA wavelet transform method for sales forecasting , 2011, Decis. Support Syst..
[13] T. Mitsuishi. Basic Properties of Fuzzy Set Operation and Membership Function , 2004 .
[14] Abraham Duarte,et al. Adaptive Memory Programming for Global Optimization , .
[15] Ellen Spertus,et al. Smokey: Automatic Recognition of Hostile Messages , 1997, AAAI/IAAI.
[16] David Zipser,et al. Feature Discovery by Competive Learning , 1986, Cogn. Sci..
[17] Yuhui Shi,et al. Swarm Intelligence in Big Data Analytics , 2013, IDEAL.
[18] C. von Altrock,et al. Fuzzy logic data analysis of environmental data for traffic control , 1997, Proceedings of 6th International Fuzzy Systems Conference.
[19] Vili Podgorelec,et al. Genetic Algorithm Based System for Patient Scheduling in Highly Constrained Situations , 1997, Journal of Medical Systems.
[20] Tom White,et al. Hadoop: The Definitive Guide , 2009 .
[21] Sergey Brin,et al. The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.
[22] Ebrahim Mamdani,et al. Applications of fuzzy algorithms for control of a simple dynamic plant , 1974 .
[23] Wei-Chang Yeh,et al. Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm , 2011, Appl. Soft Comput..
[24] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[25] Rafael Martí,et al. Scatter Search: Diseño Básico y Estrategias avanzadas , 2002, Inteligencia Artif..
[26] Kunihiko Fukushima,et al. A neural network for visual pattern recognition , 1988, Computer.
[27] John J. Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities , 1999 .
[28] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[29] B. E. Reddy,et al. Predictive data mining on Average Global Temperature using variants of ARIMA models , 2012, IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012).
[30] Teuvo Kohonen,et al. Self-organization and associative memory: 3rd edition , 1989 .
[31] El-Ghazali Talbi. A unified view of multi-objective metaheuristics , 2011 .
[32] Li Deng,et al. A tutorial survey of architectures, algorithms, and applications for deep learning , 2014, APSIPA Transactions on Signal and Information Processing.
[33] Zhengyou Zhang,et al. Improving multiview face detection with multi-task deep convolutional neural networks , 2014, IEEE Winter Conference on Applications of Computer Vision.
[34] Stephen Grossberg,et al. The ART of Adaptive Pattern Recognition Self-organizing by a Neu Network , 1988 .
[35] Rajendra Akerkar,et al. Mining Sentiment Using Conversation Ontology , 2013 .
[36] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[37] Francisco Martínez-Álvarez,et al. Neural networks to predict earthquakes in Chile , 2013, Appl. Soft Comput..
[38] Tara N. Sainath,et al. Improvements to Deep Convolutional Neural Networks for LVCSR , 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.
[39] Mitsuru Ishizuka,et al. EmoHeart: Conveying Emotions in Second Life Based on Affect Sensing from Text , 2010, Adv. Hum. Comput. Interact..
[40] Byron Ellis. Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data , 2014 .
[41] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[42] Teuvo Kohonen,et al. Self-organized formation of topologically correct feature maps , 2004, Biological Cybernetics.
[43] Václav Snásel,et al. Social Networks Analysis: Tools, Measures and Visualization , 2012, Computational Social Networks.
[44] Priti Srinivas Sajja,et al. Type-2 Fuzzy Interface for Artificial Neural Network , 2010 .
[45] Yang Shen,et al. Emotion mining research on micro-blog , 2009, 2009 1st IEEE Symposium on Web Society.
[46] Lotfi A. Zadeh,et al. The concept of a linguistic variable and its application to approximate reasoning-III , 1975, Inf. Sci..
[47] Geoffrey E. Hinton,et al. A Learning Algorithm for Boltzmann Machines , 1985, Cogn. Sci..
[48] Muthu Dayalan,et al. MapReduce : Simplified Data Processing on Large Cluster , 2018 .
[49] Bo Pang,et al. A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts , 2004, ACL.