Browse by Subject "Machine Learning"

  • Underwood, Ted (2013-09)
    Metadata for 774 works of fiction referenced in "Mapping Mutable Genres in Structurally Complex Volumes." These works come from multiple sources, including TCP-ECCO, the Brown Women Writers' Project, and research by Jordan ...

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    application/octet-streamUnknown (90Kb)
  • Samdani, Rajhans (2014-01-16)
    Structured prediction describes problems which involve predicting multiple output variables with expressive and complex interdependencies and constraints. Learning over expressive structures (called structural learning) ...

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    application/pdfPDF (2Mb)
  • Wei, Qin; Heidorn, P. Bryan (2008-10-17)
    The information in museum specimen labels is not well recognized and used. The reason is mainly because this information is not part of the information retrieval systems. It is very expensive to have human to hand input ...

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    application/vnd.ms-powerpointMicrosoft PowerPoint (3Mb)
  • Coopersmith, Evan (2013-08-22)
    The techniques and information employed for decision-making vary with the spatial and temporal scope of the assessment required. In modern agriculture, the farm owner or manager makes decisions on a day-to-day or even ...

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  • Rai, Ankit (2013-08-22)
    Urbanization over the last century has degraded our natural water resources by increasing storm-water runoff, reducing nutrient retention, and creating poor ecosystem health downstream. The loss of tree canopy and expansion ...

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  • Pekcan, Onur (2010-05-19)
    In this thesis, we describe a biometric authentication system that is capable of recognizing its users’ voice using advanced machine learning and digital signal processing tools. The proposed system can both validate a ...

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  • Majure, Lydia (2013-08-22)
    Cognitive developmental robotics unites machine learning and neuroscience with the aim of creating robots which display the robustness and efficiency of human cognition. This document proposes a novel method for acquiring ...

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    application/pdfPDF (4Mb)Restricted Access
  • Lu, Xun (2014-05-30)
    Medical specialties provide essential information about which providers have the skills needed to carry out key procedures or make critical judgments. They are useful for training and staffing and provide confidence to ...

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    application/pdfPDF (914Kb)Restricted to U of Illinois
  • Srivastava, Kunal (2012-02-01)
    This dissertation deals with developing optimization algorithms which can be distributed over a network of computational nodes. Specifically we develop distributed algorithms for the special class when the optimization ...

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  • Endres, Ian (2013-08-22)
    Object recognition systems today see the world as a collection of object categories, each existing as a separate isolated entity. They exist in a closed world, never expecting to come across a new and unfamiliar object. ...

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  • Ratinov, Lev (2012-05-22)
    In recent decades, the society depends more and more on computers for a large number of tasks. The first steps in NLP applications involve identification of topics, entities, concepts, and relations in text. Traditionally, ...

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  • Chee, Brant (2012-02-06)
    This dissertation explores the use of personal health messages collected from online message forums to predict drug safety using natural language processing and machine learning techniques. Drug safety is defined as any ...

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    application/pdfPDF (14Mb)
  • Braz, Rodrigo de Salvo; Roth, Dan (2004-04)
    Most machine learning algorithms rely on examples represented propositionally as feature vectors. However, most data in real applications is structured and better described by sets of objects with attributes and relations ...

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  • Underwood, Ted (2013-09-16)
    This workset is data in support of the article "Mapping Mutable Genres in Structurally Complex Volumes," http://arxiv.org/abs/1309.3323. It is a .tsv file containing 32,209 lines, each of which corresponds to a volume in ...

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    application/octet-streamUnknown (7Mb)
  • Aggarwal, Deepanshu (2014-01-16)
    This thesis describes a project on the modeling of spectral characteristics of electron density irregularities of the topside equatorial ionosphere probed by the Jicamarca Incoherent Scatter Radar (ISR) located near Lima, ...

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  • Hanneke, Steve; Roth, Dan (2004-06)
    We propose a unified perspective of a large family of semi-supervised learning algorithms, which select and label unlabeled data in an iterative process. We discuss existing approaches that label examples based on the ...

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  • Pu, Wen; Choi, Jaesik; Amir, Eyal; Espelage, Dorothy L. (2013-06-25)

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  • Goldwasser, Dan (2013-02-03)
    In this work we take a first step towards Learning from Natural Instructions (LNI), a framework for communicating human knowledge to computer systems using natural language. In this framework the process of learning is ...

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    application/pdfPDF (1Mb)
  • Vardhan, Abhay; Sen, Koushik; Viswanathan, Mahesh; Agha, Gul A. (2004-06)
    We present a novel approach for verifying safety properties of finite state machines communicating over unbounded FIFO channels that is based on applying machine learning techniques. We assume that we are given a model of ...

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  • Zelenko, Dmitry (2003-12)
    The dissertation presents a number of novel machine learning techniques and applies them to information extraction. The study addresses several information extraction subtasks: part of speech tagging, entity extraction, ...

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    application/pdfPDF (921Kb)