5,748 research outputs found
The disruption and electrification of liquid jets
Imperial Users onl
Invariant Models for Causal Transfer Learning
Methods of transfer learning try to combine knowledge from several related
tasks (or domains) to improve performance on a test task. Inspired by causal
methodology, we relax the usual covariate shift assumption and assume that it
holds true for a subset of predictor variables: the conditional distribution of
the target variable given this subset of predictors is invariant over all
tasks. We show how this assumption can be motivated from ideas in the field of
causality. We focus on the problem of Domain Generalization, in which no
examples from the test task are observed. We prove that in an adversarial
setting using this subset for prediction is optimal in Domain Generalization;
we further provide examples, in which the tasks are sufficiently diverse and
the estimator therefore outperforms pooling the data, even on average. If
examples from the test task are available, we also provide a method to transfer
knowledge from the training tasks and exploit all available features for
prediction. However, we provide no guarantees for this method. We introduce a
practical method which allows for automatic inference of the above subset and
provide corresponding code. We present results on synthetic data sets and a
gene deletion data set
Modernization in the Virginia General Assembly : the Commission on the Legislative Process 1972-73
Of the forces which led to institutional modernization in the Virginia General Assembly in the early 1970\u27s, the Commission on the Legislative Process was one of the most significant. The Commission focused its attention on those administrative, managerial and structural problems which were among the most significant impedi ments to the Assembly\u27s efficient operation. In the administrative and managerial areas the Commission had great success. Administrative improvements in staff support were especially significant. Staff support was recommended and subsequently approved for individual legislators, standing committees and the Assembly as a whole
How deep is deep enough? -- Quantifying class separability in the hidden layers of deep neural networks
Deep neural networks typically outperform more traditional machine learning
models in their ability to classify complex data, and yet is not clear how the
individual hidden layers of a deep network contribute to the overall
classification performance. We thus introduce a Generalized Discrimination
Value (GDV) that measures, in a non-invasive manner, how well different data
classes separate in each given network layer. The GDV can be used for the
automatic tuning of hyper-parameters, such as the width profile and the total
depth of a network. Moreover, the layer-dependent GDV(L) provides new insights
into the data transformations that self-organize during training: In the case
of multi-layer perceptrons trained with error backpropagation, we find that
classification of highly complex data sets requires a temporal {\em reduction}
of class separability, marked by a characteristic 'energy barrier' in the
initial part of the GDV(L) curve. Even more surprisingly, for a given data set,
the GDV(L) is running through a fixed 'master curve', independently from the
total number of network layers. Furthermore, applying the GDV to Deep Belief
Networks reveals that also unsupervised training with the Contrastive
Divergence method can systematically increase class separability over tens of
layers, even though the system does not 'know' the desired class labels. These
results indicate that the GDV may become a useful tool to open the black box of
deep learning
Guaranteed Employment Plans
Att skapa genom att koda Àr ett nytt och spÀnnande sÀtt att gestalta konst, lÀra sig att koda eller bara ha roligt. Denna rapports syfte Àr att utforska hur en sÄdan upplevelse kan göras mer interaktiv och intuitiv för anvÀndaren samt hur sÄdan funktionalitet kan implementeras. Som bas för detta ligger en explorativ fallstudie av det arbete som projektgruppen har utfört för att förbÀttra hemsidan för CodeArt. Det visar sig att ökad anvÀndarupplevelse kan uppnÄs med hjÀlp av implementation av olika verktyg och funktioner, i detta fall livekodning, versionshantering, hjÀlptexter och ett loggningsverktyg
Fluctuations in the homogenization of the Poisson and Stokes equations in perforated domains
We study the homogenization problem of the Poisson and Stokes equations in
perforated by spherical holes, identically and independently
distributed. In the critical regime when the radii of the holes are of order
, we consider the fluctuations of the solutions around the
homogenization limit . In the central limit scaling, we show that these
fluctuations converge to a Gaussian field, locally in , with
an explicit covariance.Comment: 40 page
Spin-Polarized Electrons in Monolayer MoS
The optical susceptibility is a local, minimally-invasive and spin-selective
probe of the ground state of a two-dimensional electron gas. We apply this
probe to a gated monolayer of MoS. We demonstrate that the electrons are
spin polarized. Of the four available bands, only two are occupied. These two
bands have the same spin but different valley quantum numbers. We argue that
strong Coulomb interactions are a key aspect of this spontaneous symmetry
breaking. The Bohr radius is so small that even electrons located far apart in
phase space interact, facilitating exchange couplings to align the spins
Quantum confined Stark effect in a MoS monolayer van der Waals heterostructure
The optics of dangling-bond-free van der Waals heterostructures containing
transition metal dichalcogenides are dominated by excitons. A crucial property
of a confined exciton is the quantum confined Stark effect (QCSE). Here, such a
heterostructure is used to probe the QCSE by applying a uniform vertical
electric field across a molybdenum disulfide (MoS) monolayer. The
photoluminescence emission energies of the neutral and charged excitons shift
quadratically with the applied electric field provided the electron density
remains constant, demonstrating that the exciton can be polarized. Stark shifts
corresponding to about half the homogeneous linewidth were achieved. Neutral
and charged exciton polarizabilities of (7.8~\pm~1.0)\times
10^{-10}~\tr{D~m~V}^{-1} and (6.4~\pm~0.9)\times 10^{-10}~\tr{D~m~V}^{-1} at
relatively low electron density (8 \times 10^{11}~\tr{cm}^{-2}) have been
extracted, respectively. These values are one order of magnitude lower than the
previously reported values, but in line with theoretical calculations. The
methodology presented here is versatile and can be applied to other
semiconducting layered materials as well
Decentralization and Solid Waste Management in Urbanizing Ghana: Moving beyond the Status Quo
Waste management is competing with more pressing economic and social issues such as social protection programs, education, and health. The government of Ghana has therefore decentralized the waste management system in the country. With this development, local government authorities and private sector actors are now playing key roles in waste management in the country. This study sought to examine decentralized solid waste management in the Berekum and Dormaa Municipalities in the Brong Ahafo Region of Ghana. Specifically, it analyzed the involvement of the private sector in solid waste management, and the quality of waste management services in the two selected municipalities. Through a survey of 312 households, the study analyzed the performance improvement, regulatory policy, and sustainable service delivery of solid waste management in the municipalities. The study found that there were no mechanisms for full cost recovery to include majority of the residents, who patronize communal collection service. The study therefore recommends the adherence to normative standards and agreed rules, adoption, and use of appropriate cost recovery strategies for low-income groups as well as the restructuring of institutional arrangements to ensure user involvement and enforcement of legislation to improve municipal solid waste management in Ghana
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