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Titlebook: Advances in Artificial Intelligence; 28th Canadian Confer Denilson Barbosa,Evangelos Milios Conference proceedings 2015 Springer Internatio

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發(fā)表于 2025-3-21 19:32:30 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Artificial Intelligence
期刊簡稱28th Canadian Confer
影響因子2023Denilson Barbosa,Evangelos Milios
視頻videohttp://file.papertrans.cn/147/146737/146737.mp4
發(fā)行地址Up-to-date results.Fast track conference proceedings.State-of-the-art report
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Advances in Artificial Intelligence; 28th Canadian Confer Denilson Barbosa,Evangelos Milios Conference proceedings 2015 Springer Internatio
影響因子.This book constitutes the refereed proceedings of the 28th Canadian Conference on Artificial Intelligence, Canadian AI 2015, held in Halifax, Nova Scotia, Canada, in June 2015.The 15 regular papers and 12 short papers presented together with 8 papers from the Graduate Student Symposium were carefully reviewed and selected from 81 submissions.? The papers are organized in topical sections such as agents, uncertainty and games; AI applications; NLP, text and social media mining; data mining and machine learning..
Pindex Conference proceedings 2015
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0302-9743 ganized in topical sections such as agents, uncertainty and games; AI applications; NLP, text and social media mining; data mining and machine learning..978-3-319-18355-8978-3-319-18356-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
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https://doi.org/10.1007/3-211-38173-2yers rather than general human-like game-play. Results demonstrate that player modeling significantly improves the ability of a trajectory generation system to imitate a given user’s actual performance.
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Offshore IR Products Based on CDI Fixings, candidate pronunciations. While each of these individual features were able to replicate many of the effects, a measure of complexity that combined the frequency of the words as well as the number of candidates and arcs successfully simulated all of the effects tested.
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Brazilian Deep-Sea Biodiversitygits and connected-digits tasks using MFCC, PLPCC and LPCC standard features. The results of our experimentations show that our strategy achieved an average relative improvement of . in accuracy, with most gains in very noisy environments where the traditional delta features have low recognition rates.
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