Professor W. B. Fisher

Professor C. W. Boeck

world generally. Wilhelm Boeck was born at Kongsberg in 1808, became a student in 1S27. Doctor in 1831; he was elected member of the Storthing in 1845 and Professor at the University in 1846. Boeck's name and scientific merits stand in special connexion witli his investigation of two of the most terrible forms of disease which have afflicted and still afflict the human race. Of one of these, Le...

Professor W. St. Clair Symmers, M.B

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...

Decoherence effects on quantum Fisher information of multi-qubit W states

Quantum fisher information of a parameter characterizing the sensitivity of a state with respect to parameter changes. In this paper, we study the quantum fisher information of the W state for four, five, six and seven particles in decoherence channels, such as amplitude damping, phase damping and depolarizing channel. Using Krauss operators for decoherence channels components, we investigate 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...