By De-Shuang Huang, Kyungsook Han
ISBN-10: 3319220527
ISBN-13: 9783319220529
ISBN-10: 3319220535
ISBN-13: 9783319220536
This publication - at the side of the double quantity LNCS 9225-9226 - constitutes the refereed court cases of the eleventh overseas convention on clever Computing, ICIC 2015, held in Fuzhou, China, in August 2015.
The eighty four papers of this quantity have been rigorously reviewed and chosen from 671 submissions. unique contributions relating to this topic have been in particular solicited, together with theories, methodologies, and functions in technological know-how and expertise. This yr, the convention targeted almost always on computer studying idea and strategies, smooth computing, snapshot processing and machine imaginative and prescient, wisdom discovery and information mining, average language processing and computational linguistics, clever regulate and automation, clever verbal exchange networks and net functions, bioinformatics idea and strategies, healthcare and scientific tools, and knowledge security.
Read Online or Download Advanced Intelligent Computing Theories and Applications: 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015. Proceedings, Part III PDF
Similar machine theory books
Introduction To The Theory Of Logic by Jose L. Zalabardo PDF
Creation to the idea of good judgment presents a rigorous advent to the fundamental techniques and result of modern good judgment. It additionally offers, in unhurried chapters, the mathematical instruments, mostly from set conception, which are had to grasp the technical facets of the topic. equipment of definition and evidence also are mentioned at size, with distinct emphasis on inductive definitions and proofs and recursive definitions.
Download e-book for iPad: Innovations in Applied Artificial Intelligence: 18th by Floriana Esposito
This e-book constitutes the refereed lawsuits of the 18th overseas convention on commercial and Engineering purposes of man-made Intelligence and professional platforms, IEA/AIE 2005, held in Bari, Italy, in June 2005. The a hundred and fifteen revised complete papers provided including invited contributions have been rigorously reviewed and chosen from 271 submissions.
Get Introduction to Automata Theory, Languages, and Computation, PDF
It's been greater than twenty years on the grounds that this vintage publication on formal languages, automata concept, and computational complexity used to be first released. With this long-awaited revision, the authors proceed to give the idea in a concise and simple demeanour, now with a watch out for the sensible purposes.
This publication constitutes the joint refereed court cases of the 4th foreign Workshop on Approximation Algorithms for Optimization difficulties, APPROX 2001 and of the fifth foreign Workshop on Ranomization and Approximation innovations in computing device technological know-how, RANDOM 2001, held in Berkeley, California, united states in August 2001.
- Online portfolio selection : principles and algorithms
- Introduction to lattice theory with computer science applications
- Biometrics in a Data Driven World: Trends, Technologies, and Challenges
- Homomorphic Encryption and Applications
Extra info for Advanced Intelligent Computing Theories and Applications: 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015. Proceedings, Part III
Sample text
Learn. 45(2), 147–170 (2001) 9. : Quantifying the uncertainty in heritability. J. Hum. Genet. 59(5), 269–275 (2014) 10. : The Em algorithm for graphical association models with missing data. Comput. Stat. Data An. 19(2), 191–201 (1995) 11. : Short-term load forecasting using bayesian neural networks learned by Hybrid Monte Carlo algorithm. Appl. Soft Comput. 12(6), 1822–1827 (2012) 12. : Bayesian methods for neural networks and related models. Stat. Sci. 19 (1), 128–139 (2004) 13. : Articial Intelligence: A Modern Approach, p.
Nevertheless, GP model fails to describe multimodality dataset and the training of GP consumes O(N3) time for N training samples [5, 6]. In order to solve these problems, Tresp [7] proposed the Mixture of Gaussian Processes (MGP) in 2000, which was adjusted from Mixture of Experts. Since then, various MGP models have been proposed, and the most of them are special cases of mixture of experts where each expert is a GP. Another useful way of reducing the time cost of training a GP is to adopt the model of sparse Gaussian Process (SGP), which computes the GP likelihood with a pseudo dataset being smaller than the training dataset in size [8].
In: Proceedings of the 31st International Conference on Machine Learning, pp. 145–153 (2014) 10. : Sparse Gaussian processes for multi-task learning. In: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, pp. 711–727 (2012) 11. : Variational inference for infinite mixtures of Gaussian processes with applications to traffic flow prediction. IEEE Trans. Intell. Transp. Syst. 12(2), 466–475 (2011) 12. : An alternative infinite mixture of Gaussian process experts.
Advanced Intelligent Computing Theories and Applications: 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015. Proceedings, Part III by De-Shuang Huang, Kyungsook Han
by Joseph
4.4