Download e-book for iPad: AI 2007: Advances in Artificial Intelligence: 20th by Patrick Doherty, Piotr Rudol (auth.), Mehmet A. Orgun, John

By Patrick Doherty, Piotr Rudol (auth.), Mehmet A. Orgun, John Thornton (eds.)

ISBN-10: 3540769269

ISBN-13: 9783540769262

This quantity includes the papers awarded at AI 2007: the twentieth Australian Joint convention on Arti?cial Intelligence held in the course of December 2–6, 2007 at the Gold Coast, Queensland, Australia. AI 2007 attracted 194 submissions (full papers) from 34 international locations. The evaluate approach was once held in levels. within the ?rst degree, the submissions have been assessed for his or her relevance and clarity by means of the Senior software Committee individuals. these submissions that handed the ?rst degree have been then reviewed by means of at the very least 3 application Committee individuals and self sustaining reviewers. After huge disc- sions, the Committee made up our minds to just accept 60 usual papers (acceptance expense of 31%) and forty four brief papers (acceptance cost of 22.7%). ordinary papers and 4 brief papers have been consequently withdrawn and aren't integrated within the complaints. AI 2007 featured invited talks from 4 across the world unique - searchers, particularly, Patrick Doherty, Norman Foo, Richard Hartley and Robert Hecht-Nielsen. They shared their insights and paintings with us and their contri- tions to AI 2007 have been significantly liked. AI 2007 additionally featured workshops on integrating AI and data-mining, semantic biomedicine and ontology. the quick papers have been provided in an interactive poster consultation and contributed to a st- ulating convention. It was once a very good excitement for us to function this system Co-chairs of AI 2007.

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Additional resources for AI 2007: Advances in Artificial Intelligence: 20th Australian Joint Conference on Artificial Intelligence, Gold Coast, Australia, December 2-6, 2007. Proceedings

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The only two subsets of N with at most k lower elements than Xj are ∅ and {Xi }. k This choice splits in two all BCkG’s in BR . Those for which the set of parents of Xj is ∅ cannot be trees since Xi has no parents as well. Therefore, there are at lest 4 k |BR | 2 ≥ 2nk− k2 2 −k 2 −1 k in BR that are non trees. Experimental Methodology and Results We compared the BC2G classifier with TAN and NB classifiers. We only considered discrete attributes and removed instances with missing values from the datasets.

As a consequence, heuristic algorithms became the standard methodology for addressing this problem [23]. A common approach is to impose restrictions over the network structure. In this context, two results set the border between efficient and non-efficient structure learning. In one hand, Chow and Liu showed that trees can be learned in polynomial time [4], on the other hand, Dasgupta proved that learning 2-polytrees is NP-hard [8]. Bayesian networks have been widely used in the context of classification [21, 16, 14].

Mixture of the Robust L1 Distributions and Its Applications 6 6 5 5 4 4 3 3 2 2 1 1 0 0 −1 −1 −2 −2 −3 −4 −15 33 −3 −10 −5 0 (a) 5 10 15 −4 −15 −10 −5 0 5 10 15 (b) Fig. 1. The comparison of standard Gaussian and L1 Mixtures Models: (a) The estimated three components by using diagonal Gaussian mixture model; (b) Obviously the L1 mixture model revealed the component structures kernel values to zero (or a small value) for the data pair who are not in the same “cluster” revealed by the L1 mixture model.

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AI 2007: Advances in Artificial Intelligence: 20th Australian Joint Conference on Artificial Intelligence, Gold Coast, Australia, December 2-6, 2007. Proceedings by Patrick Doherty, Piotr Rudol (auth.), Mehmet A. Orgun, John Thornton (eds.)


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