TAILIEUCHUNG - Báo cáo y học: " The electronic version of this article is the complete one and can be found onlin"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: The electronic version of this article is the complete one and can be found online . | Comment Going to the dogs Gregory A Petsko Address Rosenstiel Basic Medical Sciences Research Center Brandeis University Waltham MA 02454-9110 USA. Email petsko@ Published 31 March 2008 Genome Biology 2008 9 103 doi gb-2008-9-3-103 The electronic version of this article is the complete one and can be found online at http 2008 9 3 103 2008 BioMed Central Ltd Owing to an imminent grant deadline Greg Petsko is unable to deliver his column this month. In the interest of interspecies cooperation his two dogs Mink and Clifford have generously volunteered to take his place. For those of you not familiar with them they have appeared on these pages twice before Mink is a large chocolate labrador retriever Clifford is a small spaniel poodle mixed breed. In intelligence and character Mink is basically a noble albeit constantly hungry human being in a canine body. Clifford is - well a dog. Mink Clifford did you see that a Hungarian scientist one Csaba Molnar has been developing a computer program to analyze dog s barks There s even a paper about it Molnar C et al. Classification of dog barks a machine learning approach. Animal Cognition 2008 doi s10071-007-0129-9 . Clifford What does the paper say Mink Here s the abstract In this study we analyzed the possible context-specific and individual-specific features of dog barks using a new machine-learning algorithm. A pool containing more than 6 000 barks which were recorded in six different communicative situations was used as the sound sample. The algorithm s task was to learn which acoustic features of the barks which were recorded in different contexts and from different individuals could be distinguished from another. The program conducted this task by analyzing barks emitted in previously identified contexts by identified dogs. After the best feature set had been obtained with which the highest identification rate was achieved the efficiency of the algorithm was tested in a .

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