By Richard Khoury, Christopher Drummond
This e-book 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 conscientiously reviewed and chosen from ninety seven submissions. the point of interest of the convention was once at the following topics: activities and behaviours, audio and visible reputation, normal language processing, reasoning and studying, streams and dispensed computing.
Read Online or Download Advances in Artificial Intelligence: 29th Canadian Conference on Artificial Intelligence, Canadian AI 2016, Victoria, BC, Canada, May 31 - June 3, 2016. Proceedings PDF
Similar canadian books
The nationwide movie Board of Canada (NFB) was once created in 1939 to provide, distribute, and advertise Canadian cinema either locally and in a foreign country. throughout the early years of the NFB, its inventive output used to be mostly educated by way of the turbulent political and social weather the area used to be dealing with. global conflict II, Communism, unemployment, the function of labour unions, and dealing stipulations have been all matters featured by way of the NFB through the interval from 1939 to 1946.
The 18th convention of the Canadian Society for the Computational learn of Intelligence (CSCSI) persevered the good fortune of its predecessors. This set of - pers re? ects the range of the Canadian AI neighborhood and its overseas companions. AI 2005 attracted a hundred thirty five top quality submissions: sixty four from Canada and seventy one from worldwide.
This publication constitutes the refereed lawsuits of the thirteenth Biennial convention of the Canadian Society for Computational reviews of Intelligence, AI 2000, held in Montreal, Quebec, Canada, in may perhaps 2000. The 25 revised complete papers awarded including 12 10-page posters have been conscientiously reviewed and chosen from greater than 70 submissions.
From the preface: "For forty-five years I had no longer opened the wood field with the partiality hand-carved lid. I knew what used to be in it. including miscellaneous keepsakes and pictures, it contained six notebooks written in German. This was once the magazine I stored from 1938 to 1941, in the course of a very important interval in lots of people's lives, together with mine.
- Citizens and Nation: An Essay on History, Communication, and Canada
- Coming Home: Saskatchewan Remembered
- Race, Rights and the Law in the Supreme Court of Canada: Historical Case Studies
- Blood Relations
Extra info for Advances in Artificial Intelligence: 29th Canadian Conference on Artificial Intelligence, Canadian AI 2016, Victoria, BC, Canada, May 31 - June 3, 2016. Proceedings
Appl. Soft Comput. 11(2), 1565–1573 (2011) 5. : A practical guide to support vector classiﬁcation. National Taiwan University (2003). pdf 6. : Keystroke dynamics as a biometric for authentication. Future Gener. Comput. Syst. 16(4), 351–359 (2000) 7. : A systematic review on keystroke dynamics. J. Braz. Comput. Soc. 19(4), 573–587 (2013) 8. : Computer user veriﬁcation using login string keystroke dynamics. IEEE Trans. Syst. Man Cybern. Part A: Syst. Hum. 28(2), 236–241 (1998) 9. : Novel impostors detection in keystroke dynamics by support vector machine.
Computer-access security systems using keystroke dynamics. IEEE Trans. Pattern Anal. Mach. Intell. 12(12), 1217–1222 (1990) 3. : Identity authentication based on keystroke latencies. Commun. ACM 33(2), 168–176 (1990) 4. : Biometric personal authentication using keystroke dynamics: a review. Appl. Soft Comput. 11(2), 1565–1573 (2011) 5. : A practical guide to support vector classiﬁcation. National Taiwan University (2003). pdf 6. : Keystroke dynamics as a biometric for authentication. Future Gener.
Meanwhile the False Negative rate increases and the False Positive rate decreases. If γ is very large, all training vectors will end up as support vectors, which is called Overﬁtting and is clearly not desirable. Otherwise if γ is very small, the frontier will be too loose and Biometric Authentication by Keystroke Dynamics 27 Underﬁtting appears. Thus we could get a weak accuracy in the training phase, and it will also decrease the accuracy in the testing phase. On the other hand, the parameter ν ∈ [0, 1] is used to tune the upper bound on the fraction of outliers outside the decision boundaries and the lower bound on the fraction of support vectors in the training dataset .
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