W. B. Yeats and Buddhistic Philosophy (1)

W 3 , b 3 ) ( W ′ 3 , b ′ 3 ) ( W ′ 2 , b ′ 2 ) ( W ′ 1 , b ′ 1 ) ( W ′ ′

In this paper, we present a deep neural network (DNN)-based acoustic scene classification framework. Two hierarchical learning methods are proposed to improve the DNN baseline performance by incorporating the hierarchical taxonomy information of environmental sounds. Firstly, the parameters of the DNN are initialized by the proposed hierarchical pre-training. Multi-level objective function is t...

W A B W A B Input Hidden Output

A modiication to neural network training algorithms is proposed which decorrelates certain weights within the network while minimising the mean squared error. The technique was developed to facilitate neural network interpretation in image processing problems, partly by allowing to initialise all network weights with one xed, low value. However, it can also be applied to classiica-tion tasks in...

Philosophy 1.

COURSE CONTENT: The course will introduce students to philosophy through an examination of some of the most important writings in the Western tradition concerning reality, knowledge and morality. Students will learn how to read a philosophical text, so that they can comprehend philosophical theories and evaluate the argumentation supporting them. There will be significant writing assignments in...

1 0 Fe b 20 09 WHITTAKER MODULES FOR THE W - ALGEBRA W ( 2 , 2 )

In this paper, Whittaker modules for the W -algebra W (2, 2) are studied. We obtain analogues to several results from the classical setting and the case of the Virasoro algebra, including a classification of simple Whittaker modules by central characters and composition series for general Whittaker modules.

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