Browse Graduate Dissertations and Theses at Illinois by Subject "machine learning"

  • Lim, Shiau Hong (2009-05-05)
    Incorporating additional information from our prior domain knowledge can be the key to solving difficult classification tasks, especially when the available training data is limited. The crucial stage of feature construction, ...

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  • Akbas, Emre (2011-08-26)
    This dissertation is about extracting as well as making use of the structure and hierarchy present in images. We develop a new low-level, multiscale, hierarchical image segmentation algorithm designed to detect image ...

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  • Crisostomo Romero, Pedro Moises (2011-05-25)
    Hand detection on images has important applications on person activities recognition. This thesis focuses on PASCAL Visual Object Classes (VOC) system for hand detection. VOC has become a popular system for object detection, ...

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  • Jin, Jing (2014-01-16)
    Traditionally, multiple linear regression has been widely used in the field of organizational science for predictive modeling. Despite its pervasive use, the classical regression model falls short in several aspects, ...

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  • Rizzolo, Nicholas (2012-02-06)
    Machine learning (ML) is the study of representations and algorithms used for building functions that improve their behavior with experience. Today, researchers in many domains are applying ML to solve their problems when ...

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  • Klementiev, Alexandre A. (2010-01-06)
    Recent technological advances have facilitated the collection and distribution of a plethora of increasingly diverse and complex data. Supervised learning has been able to provide the toolbox of choice for exploiting it ...

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  • Sukumar, Pritam (2013-08-22)
    This thesis presents an investigation of the Collection of Parts Model for object categorization. Multiclass categorization is performed using the Collections of Parts model. Results using Support Vector Machines, L1 ...

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  • Candido, Salvatore J. (2011-08-25)
    We propose a new method for learning policies for large, partially observable Markov decision processes (POMDPs) that require long time horizons for planning. Computing optimal policies for POMDPs is an intractable problem ...

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  • Jiang, Chong (2011-01-14)
    In this thesis, we consider the problem of multi-armed bandits with a large number of correlated arms. We assume that the arms have Bernoulli distributed rewards, independent across arms and across time, where the ...

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  • Carrasco Kind, Matias (2015-01-21)
    With the growth of large photometric surveys, accurately estimating photometric redshifts, preferably as a probability density function (PDF), and fully understanding the implicit systematic uncertainties in this process ...

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  • Kim, Eric (2015-01-21)
    Machine learning (ML) based inference has recently gained importance as a key kernel in processing massive data in digital signal processing (DSP) systems. Due to the ever increasing complexity of DSP systems, energy-efficient ...

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  • Tsai, Shen-Fu (2013-02-03)
    Lack of human prior knowledge is one of the main reasons that the semantic gap still remains when it comes to automatic multimedia understanding. One difference between the human cognition system and state-of-the-art machine ...

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  • Mayhew, Stephen (2014-05-30)
    We begin by giving a comprehensive literature review that ties together many fields which have heretofore remained separate. We comment on the approaches from each field and show which algorithms are similar and which are ...

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  • Xu, Tianfang (2012-05-22)
    Current analyses of groundwater flow and transport typically rely on a physically-based model (PBM), which is inherently subject to error and uncertainty from multiple sources including model structural error, parameter ...

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