Download PDF by Richard Khoury, Christopher Drummond: Advances in Artificial Intelligence: 29th Canadian

By Richard Khoury, Christopher Drummond

ISBN-10: 3319341103

ISBN-13: 9783319341101

ISBN-10: 3319341111

ISBN-13: 9783319341118

This publication constitutes the refereed lawsuits of the twenty ninth Canadian convention on synthetic Intelligence, Canadian AI 2016, held in Victoria, BC, Canada, in May/June 2016. The 12 complete papers and 27 brief papers offered have been rigorously reviewed and chosen from ninety seven submissions. the focal point of the convention used to be at the following topics: activities and behaviours, audio and visible acceptance, normal language processing, reasoning and studying, streams and allotted computing.

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26 February 2006. html 3. : Designing a local path repair algorithm for directed diffusion protocol. Egypt. Inf. J. 13(3), 155–169 (2012) 4. : Application of structural case-based reasoning to activity recognition in smart home environments. In: 11th International Conference on Machine Learning and Applications, Vol. 1, pp. 1–6. IEEE (2012). 10 5. 4 GHz Transceiver Product Specification. Nordic Semiconductor (2007). com/ 6. : Case-based reasoning: foundational issues, methodological variations, and system approaches.

Application of structural case-based reasoning to activity recognition in smart home environments. In: 11th International Conference on Machine Learning and Applications, Vol. 1, pp. 1–6. IEEE (2012). 10 5. 4 GHz Transceiver Product Specification. Nordic Semiconductor (2007). com/ 6. : Case-based reasoning: foundational issues, methodological variations, and system approaches. AI Commun. htm Abstract. One-Class SVM is an unsupervised algorithm that learns a decision function from only one class for novelty detection: classifying new data as similar (inlier) or different (outlier) to the training set.

Fig. 5. Evaluation of the performance by the Accuracy measurement. The Accuracy tends to decrease slightly with the decreasing of the number of signatures (grey line). But the number of signatures seems to have no influence on the False Positive number (green line). (Color figure online) worse recognition rates are found. So we observed a correlation with distribution characteristics, which can be used in the recognition process and can explain why the recognition rates of some IDULs are not satisfied.

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Advances in Artificial Intelligence: 29th Canadian Conference on Artificial Intelligence, Canadian AI 2016, Victoria, BC, Canada, May 31 - June 3, 2016. Proceedings by Richard Khoury, Christopher Drummond


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