4,444 research outputs found
Neural Audio: Music Information Retrieval Using Deep Neural Networks
The use of deep neural networks has exploded in popularity recently. Thinking that music information retrieval should not be left out of this trend in machine learning, we explore two different applications of this technology in the field.
The first we looked at was genre identificaton, using the initial categories of \u27popular music,\u27 \u27art music,\u27 and \u27traditional music.\u27 This was found to be a difficult problem - classifying music into these categories can be challenging even for experts, and assembling a large dataset for use in training represents a significant problem.
The second approach we took to using these techniques was looking at instrument identification, specifically for the purpose of identifying the time and category (from guitar, vocal, or drum ) of solos in popular music
Do Organisational Climate and Strategic Orientation Moderate the Relationship Between Human Resource Management Practices and Productivity?
Contingency formulations of Human Resource Management (HRM) theory suggest thatthe effectiveness of HRM practices should vary across firms. This study examinedwhether the relationship between HRM practices and productivity in manufacturingcompanies is contingent upon organizational climate and strategic orientation.Information on HRM, organizational structure, and competitive strategy was collected byinterviewing senior managers, whilst organizational climate was assessed via employeesurveys. Although organizational climate and HRM practices were both positivelyassociated with subsequent productivity, the relationship between HRM practices andsubsequent productivity was stronger for firms with a poor climate.Human Resource Management, organisational structure, organisationalclimate, productivity
Algorithms for Near-Term and Noisy Quantum Devices
Quantum computing promises to revolutionise many fields, including chemical simulations and machine learning. At the present moment those promises have not been realised, due to the large resource requirements of fault tolerant quantum computers, not excepting the scientific and engineering challenges to building a fault tolerant quantum computer. Instead, we currently have access to quantum devices that are both limited in qubit number, and have noisy qubits.
This thesis deals with the challenges that these devices present, by investigating applications in quantum simulation for molecules and solid state systems, quantum machine learning, and by presenting a detailed simulation of a real ion trap device. We firstly build on a previous algorithm for state discrimination using a quantum machine learning model, and we show how to adapt the algorithm to work on a noisy device. This algorithm outperforms the analytical best POVM if ran on a noisy device. We then discuss how to build a quantum perceptron - the building block of a quantum neural network.
We also present an algorithm for simulating the Dynamical Mean Field Theory (DMFT) using a quantum device, for two sites. We also discuss some of the difficul- ties found in scaling up that system, and present an algorithm for building the DMFT ansatz using the quantum device. We also discuss modifications to the algorithm that make it more âdevice-awareâ.
Finally we present a pule-level simulation of the noise in an ion trap device, designed to match the specifications of a device at the National Physical Laboratory (NPL), which we can use to direct future experimental focus. Each of these sections is preceded by a review of the relevant literature
Mining: A Naval Strategy
The following historic narrative and analysis offer the reader not only a valuable review of past successes and failures of mine campaigns, but also a series of unique insights into possible roles for the mine in contemporary warfare
Hong Kong hospitals - the geographical implications of a hospital philosophy.
PhDThe pressures exerted on hospital facilities in Hong Kong
from an ageing population with increasing expectations,
are compounded by a continued growth in population.
Hospitals have clearly failed to deal with rising demand
and, as a consequence, are commonly perceived to be in a
state of crisis. In this respect, most comment has centred
on the overall quantity of provision and quality, as
assessed largely in terms of technical care and hotel
conditions.
This thesis highlights the additional issue of the spatial
inequality of provision in a rapidly changing urban scene.
In extending discussion to the "appropriateness" of new
hospital provision, the thesis examines the relationship
that hospitals have with their client populations. This
involves not only their geographical location, but also
their interaction with other health care providers in the
urban space and, most importantly, the roles which
hospitals have been assigned.
The thesis explores the link between the function of a
hospital and the principles on which the hospital system
is based, arguing that the system is not merely a product
of a particular politico-economic setting, but also of a
history of influences, not least of which has been the
need to mediate between the diverse cultures and
traditions of Hong Kong.
Guiding principles concerning the role and functioning of
hospitals can be collectively described as a "hospital
philosophy". Because it has arisen out of diverse
influences, such a guiding philosophy may be susceptible
to change, even though basic economic and political
relations remain essentially unaltered. Since a hospital
philosophy can affect location decisions and the way in
which the hospital interacts over space, any change in
philosophy may have spatial implications.
The thesis assesses the extent to which the philosophy can
be successfully altered from within the system by paying
particular attention to the relationship between one
hospital, which has proclaimed an alternative approach,
and the area which that hospital serves.
Also examined are the Government's own plans for changing
the operation of hospital services for the 1990s and their
spatial implications, assessing to what extent this
reflects a significant change in outlook towards hospital
care
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