Victoria University

Browsing University Library Papers and Theses by Subject "Machine learning"

ResearchArchive/Manakin Repository

Browsing University Library Papers and Theses by Subject "Machine learning"

Sort by: Order: Results:

  • Newton, Heidi (Victoria University of Wellington, 2015)
    The thesis addresses the problem of creating an autonomous agent that is able to learn about and use meaningful hand motor actions in a simulated world with realistic physics, in a similar way to human infants learning to ...
  • Tay, Wee Kiat (Victoria University of Wellington, 2017)
    Emotion analytics is the study of human behavior by analyzing the responses when humans experience different emotions. In this thesis, we research into emotion analytics solutions using computer vision to detect emotions ...
  • Friedlander, Anna (Victoria University of Wellington, 2014)
    The sheer volume of data to be produced by the next generation of radio telescopes—exabytes of data on hundreds of millions of objects—makes automated methods for the detection of astronomical objects ("sources") essential. ...
  • Ghifary, Muhammad (Victoria University of Wellington, 2016)
    Machine learning has achieved great successes in the area of computer vision, especially in object recognition or classification. One of the core factors of the successes is the availability of massive labeled image or ...
  • Tran, Cao Truong (Victoria University of Wellington, 2018)
    Classification is a major task in machine learning and data mining. Many real-world datasets suffer from the unavoidable issue of missing values. Classification with incomplete data has to be carefully handled because ...
  • Zhang, Yun (Victoria University of Wellington, 2012)
    This thesis exploits latent information in personalised recommendation, and investigates how this information can be used to improve recommender systems. The investigations span three directions: scalar rating-based ...
  • Neshatian, Kourosh (Victoria University of Wellington, 2010)
    Feature manipulation refers to the process by which the input space of a machine learning task is altered in order to improve the learning quality and performance. Three major aspects of feature manipulation are feature ...
  • Boyle, Phillip (Victoria University of Wellington, 2007)
    Gaussian processes have proved to be useful and powerful constructs for the purposes of regression. The classical method proceeds by parameterising a covariance function, and then infers the parameters given the training ...
  • Bhowan, Urvesh (Victoria University of Wellington, 2012)
    In classification,machine learning algorithms can suffer a performance bias when data sets are unbalanced. Binary data sets are unbalanced when one class is represented by only a small number of training examples (called ...
  • Hochenbaum, Jordan Natan (Victoria University of Wellington, 2013)
    Multimodal communication is an essential aspect of human perception, facilitating the ability to reason, deduce, and understand meaning. Utilizing multimodal senses, humans are able to relate to the world in many ...
  • Bebbington, James (Victoria University of Wellington, 2011)
    The variation in the data that a robot in the real world receives from its sensory inputs (i.e. its sensory data) will come from many sources. Much of this variation is the result of ground truths about the world, such as ...
  • Peng, Yiming (Victoria University of Wellington, 2019)
    Reinforcement Learning (RL) problems appear in diverse real-world applications and are gaining substantial attention in academia and industry. Policy Direct Search (PDS) is widely recognized as an effective approach to RL ...
  • Evans, Benjamin (Victoria University of Wellington, 2019)
    Ensemble learning is one of the most powerful extensions for improving upon individual machine learning models. Rather than a single model being used, several models are trained and the predictions combined to make a more ...
  • Tariq, Hassan (Victoria University of Wellington, 2020)
    There is a huge and rapidly increasing amount of data being generated by social media, mobile applications and sensing devices. Big data is the term usually used to describe such data and is described in terms of the 3Vs ...
  • Loh, Bryan (Victoria University of Wellington, 2018)
    Computational design tools enable designers to construct and manipulate representations of design artifacts to arrive at a solution. However, the constraints of deterministic programming impose a high cost of tedium and ...

Search ResearchArchive


Advanced Search

Browse

My Account

Statistics