1,808 research outputs found
Quantifying uncertainty in online regression forests
No full textAccurately quantifying uncertainty in predictions is essential for the deployment of machine learning algorithms in critical applications where mistakes are costly. Most approaches to quantifying prediction uncertainty have focused on settings where the data is static, or bounded. In this paper, we investigate methods that quantify the prediction uncertainty in a streaming setting, where the data is potentially unbounded. We propose two meta-algorithms that produce prediction intervals for online regression forests of arbitrary tree models; one based on conformal prediction, and the other based on quantile regression. We show that the approaches are able to maintain specified error rates, with constant computational cost per example and bounded memory usage. We provide empirical evidence that the methods outperform the state-of-the-art in terms of maintaining error guarantees, while being an order of magnitude faster. We also investigate how the algorithms are able to recover from concept drift. ©c 2019 Theodore Vasiloudis, Gianmarco De Francisci Morales, Henrik Boström.</p
Dr. Glendon Swarthout
No full textHosted by Roger M. Busfield, MSU Assistant Professor of Speech and Theater, Meet the Author is designed to introduce a general audience to a contemporary author and their work through in-depth interviews. This episode features a conversation between Dr. Glendon Swarthout, prolific author and English professor at MSU, and assistant professors Sam S. Baskett and Theodore B. Strandness
Mr. Theodore F. Bevan's Fifth expedition to British New Guinea : Preliminary presentation pamphlet (illustrated)
No full textLimited to 100 copies.; Author's presentation copy to the Editor of the Sydney Morning Herald.; Ferguson, no. 6989.; Also available in an electronic version via the Internet at: http://nla.gov.au/nla.aus-f6989; Ferguson copy signed by author
Theodore Deppe, 38th Annual ODU Literary Festival
No full textTheodore Deppe is the author of Beautiful Wheel, Orpheus on the Red Line, Cape Clear: New and Selected Poems, The Wanderer King, and Children of the Air. He has received a Pushcart Prize, two fellowships from the National Endowment for the Arts, and grants from the Massachusetts Cultural Commission and the Connecticut Commission on the Arts. His work has appeared in Poetry, Harper’s, Kenyon Review, Ploughshares, Poetry Ireland Review and elsewhere. He served as writer-in-residence at Phillips Academy in Massachusetts, the Poet\u27s House in Ireland, Westminster College in Utah, and the James Merrill House in Connecticut. He directs Stonecoast in Ireland and lives on the west coast of Ireland
Bizarre stromal cells in an endometrial polyp
No full textBizarre stromal cells have been reported in vulvovaginal polyps, as well as in nongynecologic sites, with caution not to mistake them for malignancy. Similar atypical stromal cells have only rarely been reported in the endometrium. We present a case found incidentally in a postmenopausal female, and review the literature.Peer reviewed
The laser inventor: memoirs of Theodore H. Maiman
No full textIn these engaging memoirs of a maverick, Theodore H. Maiman describes the life events leading to his invention of the laser in 1960. Maiman succeeded using his expertise in physics and engineering along with an ingenious and elegant design not anticipated by others. His pink ruby laser produced mankind’s first-ever coherent light and has provided transformational technology for commerce, industry, telecom, the Internet, medicine, and all the sciences. Maiman also chronicles the resistance from his employer and the ongoing intrigue by competing researchers in industry and academia seeking to diminish his contribution in inventing the first laser. This work will appeal to a wide readership, from physicists and engineers through science enthusiasts to general readers. The volume includes extensive photos and documentary materials related to Maiman’s life and accomplishments never before published. "No one beat Maiman to the laser. How important is the laser? How important are all lasers? That is how important we have to regard Maiman’s contribution.He and the laser changed all of our lives, everyone’s!" Dr. Nick Holonyak, Jr., Professor of Electrical and Computer Engineering and Physics, University of Illinois at Champaigne-Urbana, and inventor of the light-emitting diode (LED) and co-inventor of the transistor laser "More than five decades later, we can safely conclude that Theodore Maiman's groundbreaking discovery changed the world. Our modern life just as scientific research would be quite different without the laser." Dr. Ferenc Krausz, Director, Max Planck Institute for Quantum Optics, Garching, Germany, and Professor of Physics, Ludwig Maximilian University, Munich, and pioneer in attosecond lasers and attophysics "Maiman had the stroke of genius needed to take a different approach [from his competitors]. The sheer elegance and simplicity of his design belies the intellectual achievement it represents. If his invention seems obvious to some today, it was far from obvious in 1960." Jeff Hecht, authoritative science writer on the historical development of the laser, author of books on lasers and fiber optics
MANOVA modelling of a chiropractic longitudinal study using multiple imputation
No full textThe purpose of this report is to present the detailed statistical analysis of a randomised, placebo-controlled trial comparing two different treatment modalities to an intervention of no known benefit for people with acute or subacute thoracic spine pain.
The therapy arms consist of Spinal Manipulative Therapy (SMT) and Graston Technique (GT) and the placebo is a non-functional ultrasound. A placebo group was utilised because at present there are no proven treatments for non-specific thoracic pain. This trial is registered with the Australia and New Zealand Clinical Trials Registry. Ethics approval has been granted by Murdoch University Human Research and Ethics Committee, number 2007/274.
The aim of this three arm trial was to test the efficacy of SMT and GT as independent modalities compared to detuned ultrasound for the outcomes of pain and disability. The latter were measured using the Visual Analogue Scale (VAS) and a modified Oswestry Back Pain Disability Index. The study was conducted at the Murdoch University Chiropractic student clinic in Perth, Australia, and the protocol published in Crothers et al (2008).
In this report, Section 2 provides an initial exploratory analysis of the data, Section 3 outlines the statistical models used in the final analysis, Section 4 defines these models in mathematical terms, Section 5 discusses the management of missing values via multiple imputation and Section 6 presents the results of the statistical modelling and hypothesis tests. The clinical study will be published in full elsewhere
Theodore A. Burton (1935–2025)
No full textOutstanding researcher, author, and educator of differential equations, Theodore A. Burton passed away on January 5, 2025, in his 90th year
Scalable Machine Learning through Approximation and Distributed Computing
No full textMachine learning algorithms are now being deployed in practically all areas of our lives. Part of this success can be attributed to the ability to learn complex representations from massive datasets. However, computational speed increases have not kept up with the increase in the sizes of data we want to learn from, leading naturally to algorithms that need to be resource-efficient and parallel. As the proliferation of machine learning continues, the ability for algorithms to adapt to a changing environment and deal with uncertainty becomes increasingly important. In this thesis we develop scalable machine learning algorithms, with a focus on efficient, online, and distributed computation. We make use of approximations to dramatically reduce the computational cost of exact algorithms, and develop online learning algorithms to deal with a constantly changing environment under a tight computational budget. We design parallel and distributed algorithms to ensure that our methods can scale to massive datasets. We first propose a scalable algorithm for graph vertex similarity calculation and concept discovery. We demonstrate its applicability to multiple domains, including text, music, and images, and demonstrate its scalability by training on one of the largest text corpora available. Then, motivated by a real-world use case of predicting the session length in media streaming, we propose improvements to several aspects of learning with decision trees. We propose two algorithms to estimate the uncertainty in the predictions of online random forests. We show that our approach can achieve better accuracy than the state of the art while being an order of magnitude faster. We then propose a parallel and distributed online tree boosting algorithm that maintains the correctness guarantees of serial algorithms while providing an order of magnitude speedup on average. Finally, we propose an algorithm that allows for gradient boosted trees training to be distributed across both the data point and feature dimensions. We show that we can achieve communication savings of several orders of magnitude for sparse datasets, compared to existing approaches that can only distribute the computation across the data point dimension and use dense communication.QC 20190426</p
Dr. Theodore Kratt
No full textThis is an individual portrait of Dr. Theodore Kratt, the author of the official college song McMinnville College: To You We\u27re Always True, penned in 1917.https://digitalcommons.linfield.edu/lca_photos/1164/thumbnail.jp
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