1,075 research outputs found
Support vector machine for functional data classification
In many applications, input data are sampled functions taking their values in
infinite dimensional spaces rather than standard vectors. This fact has complex
consequences on data analysis algorithms that motivate modifications of them.
In fact most of the traditional data analysis tools for regression,
classification and clustering have been adapted to functional inputs under the
general name of functional Data Analysis (FDA). In this paper, we investigate
the use of Support Vector Machines (SVMs) for functional data analysis and we
focus on the problem of curves discrimination. SVMs are large margin classifier
tools based on implicit non linear mappings of the considered data into high
dimensional spaces thanks to kernels. We show how to define simple kernels that
take into account the unctional nature of the data and lead to consistent
classification. Experiments conducted on real world data emphasize the benefit
of taking into account some functional aspects of the problems.Comment: 13 page
Numerical modelling of spoolable thermoplastic composite pipe (TCP) under combined bending and thermal load
Peer reviewedPublisher PD
Functional Multi-Layer Perceptron: a Nonlinear Tool for Functional Data Analysis
In this paper, we study a natural extension of Multi-Layer Perceptrons (MLP)
to functional inputs. We show that fundamental results for classical MLP can be
extended to functional MLP. We obtain universal approximation results that show
the expressive power of functional MLP is comparable to that of numerical MLP.
We obtain consistency results which imply that the estimation of optimal
parameters for functional MLP is statistically well defined. We finally show on
simulated and real world data that the proposed model performs in a very
satisfactory way.Comment: http://www.sciencedirect.com/science/journal/0893608
Failure analysis of thermoplastic composite pipe (TCP) under combined pressure, tension and thermal gradient for an offshore riser application
Peer reviewedPostprin
Effects of thermal gradient on failure of a thermoplastic composite pipe (TCP) riser leg
Acknowledgements The authors wish to thank Dr Oleksandr Menshykov and Dr Maryna Menshykova of the Centre for Micro- and Nanomechanics, University of Aberdeen, for providing MATLAB script for validation purposes. Corrigendum to “Effects of thermal gradient on failure of a thermoplastic composite pipe (TCP) riser leg” [Int. J. Pres. Ves. Pip. 172 (2019) 90–99] at https://doi.org/10.1016/j.ijpvp.2020.104172Peer reviewedPostprin
Coupled thermomechanical analysis of thermoplastic composite pipe by FEM simulations
Peer reviewedPublisher PD
A System for Real-Time Interactive Analysis of Deep Learning Training
Performing diagnosis or exploratory analysis during the training of deep
learning models is challenging but often necessary for making a sequence of
decisions guided by the incremental observations. Currently available systems
for this purpose are limited to monitoring only the logged data that must be
specified before the training process starts. Each time a new information is
desired, a cycle of stop-change-restart is required in the training process.
These limitations make interactive exploration and diagnosis tasks difficult,
imposing long tedious iterations during the model development. We present a new
system that enables users to perform interactive queries on live processes
generating real-time information that can be rendered in multiple formats on
multiple surfaces in the form of several desired visualizations simultaneously.
To achieve this, we model various exploratory inspection and diagnostic tasks
for deep learning training processes as specifications for streams using a
map-reduce paradigm with which many data scientists are already familiar. Our
design achieves generality and extensibility by defining composable primitives
which is a fundamentally different approach than is used by currently available
systems. The open source implementation of our system is available as
TensorWatch project at https://github.com/microsoft/tensorwatch.Comment: Accepted at ACM SIGCHI Symposium on Engineering Interactive Computing
Systems (EICS 2019). Code available as TensorWatch project at
https://github.com/microsoft/tensorwatc
Gloria Patri, Gender, and the Gulf War: A Conversation with Mary Kelly
Mary Kelly\u27s gallery size installation, entitled Gloria Patri, was first shown at the Herbert F. Johnson Museum, Cornell University in 1992. Gloria Patri focuses on the issues of heroism, mastery, and war within the context of a pathologized masculinity; that is, on the identification by both men and women with masculine ideals of mastery, domination, and control, and their simultaneous physical and psychological collapse. This crisis of masculine mastery is set against the backdrop of the Persian Gulf War
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Permit Stacking as an Approach to Implementing Harvest Rights That Can Be Transferred and Accumulated
The current U.S. moratorium on implementation of new Individual Quota (IQ) programs has left fishery managers without an important tool in the quest for successful management systems. Meanwhile, many fisheries, such as the west coast groundfish fishery, are in desperate need of capacity reduction and more flexible management.
The Pacific Fishery Management Council (PFMC) has, since 1994, employed a license limitation program for most of its groundfish fishery. Management objectives identified for this fishery include the provision of year-round supplies of fresh fish to regional markets. To promote this objective the Council has adopted, over the past 15 years, an evolving web of individual-trip and cumulative-time-period landing limits, which slow the pace of the fishery. In recent years, downturns in the perceived health of several stocks, combined with more stringent rebuilding requirements, have resulted in dramatic reductions in the limits for many species. With little hope of implementing a permit buyback initiative, the PFMC is currently considering alternatives for voluntary and mandatory permit stacking to achieve fleet reduction and, in turn, higher limits for vessels on the water. Stacking may prove to be an effective intermediate step towards IQs for fisheries combining limited access with some form of effort/output controls. In relatively small fisheries, particularly those with existing permit programs and output/effort restrictions, permit stacking may represent a cost-effective means of facilitatating fleet consolidation and individual accumulation of harvest rights.Keywords: fishery management, property right
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